From 6e9b59deb54b36de7a7c0bce661d795133802a6a Mon Sep 17 00:00:00 2001 From: "Hassan D. M. Sambo" Date: Mon, 2 Oct 2023 22:00:06 -0400 Subject: [PATCH 1/6] #2282 Fixed schema validation bug for federal awards section --- backend/audit/excel.py | 52 +++++++++++++++--- backend/audit/validators.py | 15 +----- .../output/sections/FederalAwards.schema.json | 54 +++++++++++-------- .../output/sections/TribalAccess.schema.json | 2 +- .../sections/FederalAwards.schema.jsonnet | 38 +++++++------ 5 files changed, 104 insertions(+), 57 deletions(-) diff --git a/backend/audit/excel.py b/backend/audit/excel.py index fc99f3edc5..276e13f820 100644 --- a/backend/audit/excel.py +++ b/backend/audit/excel.py @@ -508,16 +508,54 @@ def _extract_column_data(workbook, result, params): set_fn(result, f"{parent_target}", entries) +def _has_only_one_field_with_value_0(my_dict, field_name): + """Check if the dictionary has exactly one field with the provided name and its value is 0""" + return len(my_dict) == 1 and my_dict.get(field_name) == 0 + + def _remove_empty_award_entries(data): """Removes empty award entries from the data""" - indexed_awards = [] + awards = [] for award in data.get("FederalAwards", {}).get("federal_awards", []): - if "program" in award: - program = award["program"] - if FEDERAL_AGENCY_PREFIX in program: - indexed_awards.append(award) + if not all( + [ + "direct_or_indirect_award" not in award, + "loan_or_loan_guarantee" not in award, + "subrecipients" not in award, + "program" in award + and _has_only_one_field_with_value_0( + award["program"], "federal_program_total" + ), + "cluster" in award + and _has_only_one_field_with_value_0(award["cluster"], "cluster_total"), + ] + ): + awards.append(award) if "FederalAwards" in data: # Update the federal_awards with the valid awards + data["FederalAwards"]["federal_awards"] = awards + + return data + + +def _add_required_fields(data): + """Adds empty parent fields to the json object to allow for proper schema validation / indexing""" + indexed_awards = [] + for award in data.get("FederalAwards", {}).get("federal_awards", []): + if "cluster" not in award: + award["cluster"] = {} + if "direct_or_indirect_award" not in award: + award["direct_or_indirect_award"] = {} + if "loan_or_loan_guarantee" not in award: + award["loan_or_loan_guarantee"] = {} + if "program" not in award: + award["program"] = {} + if "subrecipients" not in award: + award["subrecipients"] = {} + indexed_awards.append(award) + + if "FederalAwards" in data: + # Update the federal_awards with all required fields data["FederalAwards"]["federal_awards"] = indexed_awards return data @@ -536,7 +574,9 @@ def extract_federal_awards(file): template["title_row"], ) result = _extract_data(file, params) - return _remove_empty_award_entries(result) + result = _remove_empty_award_entries(result) + result = _add_required_fields(result) + return result def extract_corrective_action_plan(file): diff --git a/backend/audit/validators.py b/backend/audit/validators.py index 769d522bed..30baca6df8 100644 --- a/backend/audit/validators.py +++ b/backend/audit/validators.py @@ -3,7 +3,6 @@ import logging from jsonschema import Draft7Validator, FormatChecker, validate from jsonschema.exceptions import ValidationError as JSONSchemaValidationError -from jsonschema.exceptions import SchemaError as JSONSchemaError from django.core.exceptions import ValidationError @@ -209,18 +208,8 @@ def validate_federal_award_json(value): schema_path = settings.SECTION_SCHEMA_DIR / "FederalAwards.schema.json" schema = json.loads(schema_path.read_text(encoding="utf-8")) - # FIXME: For some classes of error, this approach - # will go into an infinite/recursive loop in the iterator. - # There needs to either be a way to solve that, or we need - # to not use this approach. - # validator = Draft7Validator(schema) - # errors = list(validator.iter_errors(value)) - # The side-effect is that now I only do one error at a time... - errors = [] - try: - validate(schema=schema, instance=value) - except (JSONSchemaValidationError, JSONSchemaError) as e: - errors = [e] + validator = Draft7Validator(schema) + errors = list(validator.iter_errors(value)) if len(errors) > 0: raise ValidationError(message=_federal_awards_json_error(errors)) diff --git a/backend/schemas/output/sections/FederalAwards.schema.json b/backend/schemas/output/sections/FederalAwards.schema.json index 8df5f0fafd..842f87240b 100644 --- a/backend/schemas/output/sections/FederalAwards.schema.json +++ b/backend/schemas/output/sections/FederalAwards.schema.json @@ -37,6 +37,12 @@ }, "cluster": { "allOf": [ + { + "required": [ + "cluster_name", + "cluster_total" + ] + }, { "if": { "properties": { @@ -175,15 +181,16 @@ "type": "string" } }, - "required": [ - "cluster_name", - "cluster_total" - ], "type": "object" }, "direct_or_indirect_award": { "additionalProperties": false, "allOf": [ + { + "required": [ + "is_direct" + ] + }, { "if": { "properties": { @@ -243,14 +250,16 @@ "type": "string" } }, - "required": [ - "is_direct" - ], "type": "object" }, "loan_or_loan_guarantee": { "additionalProperties": false, "allOf": [ + { + "required": [ + "is_guaranteed" + ] + }, { "if": { "properties": { @@ -307,14 +316,22 @@ ] } }, - "required": [ - "is_guaranteed" - ], "type": "object" }, "program": { "additionalProperties": false, "allOf": [ + { + "required": [ + "program_name", + "federal_agency_prefix", + "three_digit_extension", + "is_major", + "number_of_audit_findings", + "federal_program_total", + "amount_expended" + ] + }, { "properties": { "number_of_audit_findings": { @@ -428,20 +445,16 @@ "type": "string" } }, - "required": [ - "program_name", - "federal_agency_prefix", - "three_digit_extension", - "is_major", - "number_of_audit_findings", - "federal_program_total", - "amount_expended" - ], "type": "object" }, "subrecipients": { "additionalProperties": false, "allOf": [ + { + "required": [ + "is_passed" + ] + }, { "if": { "properties": { @@ -486,9 +499,6 @@ "type": "number" } }, - "required": [ - "is_passed" - ], "type": "object" } }, diff --git a/backend/schemas/output/sections/TribalAccess.schema.json b/backend/schemas/output/sections/TribalAccess.schema.json index 4ab0f59366..2918a854f6 100644 --- a/backend/schemas/output/sections/TribalAccess.schema.json +++ b/backend/schemas/output/sections/TribalAccess.schema.json @@ -21,5 +21,5 @@ ], "title": "TribalAccess", "type": "object", - "version": null + "version": 20230927 } diff --git a/backend/schemas/source/sections/FederalAwards.schema.jsonnet b/backend/schemas/source/sections/FederalAwards.schema.jsonnet index db45c5536d..9034ab4385 100644 --- a/backend/schemas/source/sections/FederalAwards.schema.jsonnet +++ b/backend/schemas/source/sections/FederalAwards.schema.jsonnet @@ -14,6 +14,9 @@ local Validations = { required: ['passthrough_name'], }, LoanOrLoanGuaranteeValidations: [ + { + required: ['is_guaranteed'], + }, { 'if': { properties: { @@ -42,6 +45,9 @@ local Validations = { }, ], SubrecipientValidations: [ + { + required: ['is_passed'], + }, { 'if': { properties: { @@ -72,6 +78,17 @@ local Validations = { }, ], ProgramValidations: [ + { + required: [ + 'program_name', + 'federal_agency_prefix', + 'three_digit_extension', + 'is_major', + 'number_of_audit_findings', + 'federal_program_total', + 'amount_expended', + ], + }, { properties: { number_of_audit_findings: Types.integer { @@ -156,8 +173,10 @@ local Parts = { minimum: 0, }, }, - required: ['cluster_name', 'cluster_total'], allOf: [ + { + required: ['cluster_name', 'cluster_total'], + }, { 'if': { properties: { @@ -239,8 +258,10 @@ local Parts = { items: Validations.PassThroughEntity, }, }, - required: ['is_direct'], allOf: [ + { + required: ['is_direct'], + }, { 'if': { properties: { @@ -284,9 +305,6 @@ local Parts = { ], }, }, - required: [ - 'is_guaranteed', - ], allOf: Validations.LoanOrLoanGuaranteeValidations, }, Subrecipients: Types.object { @@ -297,7 +315,6 @@ local Parts = { minimum: 0, }, }, - required: ['is_passed'], allOf: Validations.SubrecipientValidations, }, Program: Types.object { @@ -317,15 +334,6 @@ local Parts = { audit_report_type: Base.Enum.MajorProgramAuditReportType, number_of_audit_findings: Types.integer, }, - required: [ - 'program_name', - 'federal_agency_prefix', - 'three_digit_extension', - 'is_major', - 'number_of_audit_findings', - 'federal_program_total', - 'amount_expended', - ], allOf: Validations.ProgramValidations, }, }; From f361997f76716254be19f6ae344ca3b09aeebe29 Mon Sep 17 00:00:00 2001 From: "Hassan D. M. Sambo" Date: Tue, 3 Oct 2023 11:18:47 -0400 Subject: [PATCH 2/6] #2282 Updated FederalAward schema to allow negative numbers and applied jsonnet formatting --- .../excel/json/federal-awards-workbook.json | 44 +++++++++--------- .../excel/xlsx/additional-eins-workbook.xlsx | Bin 200063 -> 200070 bytes .../excel/xlsx/additional-ueis-workbook.xlsx | Bin 200071 -> 200074 bytes .../xlsx/audit-findings-text-workbook.xlsx | Bin 217590 -> 217590 bytes .../xlsx/corrective-action-plan-workbook.xlsx | Bin 217597 -> 217595 bytes ...ederal-awards-audit-findings-workbook.xlsx | Bin 691805 -> 691803 bytes .../excel/xlsx/federal-awards-workbook.xlsx | Bin 891625 -> 690327 bytes .../excel/xlsx/notes-to-sefa-workbook.xlsx | Bin 246242 -> 246243 bytes .../xlsx/secondary-auditors-workbook.xlsx | Bin 192469 -> 192467 bytes .../output/sections/FederalAwards.schema.json | 5 -- .../schemas/source/excel/libs/Help.libsonnet | 4 ++ .../excel/libs/SheetValidations.libsonnet | 9 ++++ .../templates/federal-awards-workbook.jsonnet | 18 +++---- .../sections/FederalAwards.schema.jsonnet | 20 ++------ .../GeneralInformation.schema.jsonnet | 22 ++++----- .../GeneralInformationComplete.schema.jsonnet | 8 ++-- .../sections/TribalAccess.schema.jsonnet | 2 +- 17 files changed, 65 insertions(+), 67 deletions(-) diff --git a/backend/schemas/output/excel/json/federal-awards-workbook.json b/backend/schemas/output/excel/json/federal-awards-workbook.json index e1d31b392c..6f3771849c 100644 --- a/backend/schemas/output/excel/json/federal-awards-workbook.json +++ b/backend/schemas/output/excel/json/federal-awards-workbook.json @@ -89,8 +89,8 @@ "format": "dollar", "formula": "=SUM('Form'!F$FIRSTROW:F$LASTROW)", "help": { - "link": "https://fac.gov/documentation/validation/#positive_number", - "text": "The number must be zero or greater" + "link": "https://fac.gov/documentation/validation/#any_number", + "text": "Must be a number" }, "keep_locked": true, "range_cell": "B5", @@ -99,9 +99,9 @@ "title_cell": "A5", "type": "single_cell", "validation": { - "custom_error": "This cell must be a positive number", - "custom_title": "Positive numbers", - "formula1": "=AND(ISNUMBER(FIRSTCELLREF),OR(SIGN(FIRSTCELLREF)=0,SIGN(FIRSTCELLREF)=1))", + "custom_error": "This cell must be a number", + "custom_title": "Numbers", + "formula1": "=ISNUMBER(FIRSTCELLREF)", "type": "custom" }, "width": 36 @@ -197,17 +197,17 @@ { "format": "dollar", "help": { - "link": "https://fac.gov/documentation/validation/#positive_number", - "text": "The number must be zero or greater" + "link": "https://fac.gov/documentation/validation/#any_number", + "text": "Must be a number" }, "range_name": "amount_expended", "title": "Amount Expended", "title_cell": "F1", "type": "open_range", "validation": { - "custom_error": "This cell must be a positive number", - "custom_title": "Positive numbers", - "formula1": "=AND(ISNUMBER(FIRSTCELLREF),OR(SIGN(FIRSTCELLREF)=0,SIGN(FIRSTCELLREF)=1))", + "custom_error": "This cell must be a number", + "custom_title": "Numbers", + "formula1": "=ISNUMBER(FIRSTCELLREF)", "type": "custom" } }, @@ -259,8 +259,8 @@ "format": "dollar", "formula": "=SUMIFS(amount_expended,cfda_key,V{0})", "help": { - "link": "https://fac.gov/documentation/validation/#positive_number", - "text": "The number must be zero or greater" + "link": "https://fac.gov/documentation/validation/#any_number", + "text": "Must be a number" }, "keep_locked": true, "range_name": "federal_program_total", @@ -268,9 +268,9 @@ "title_cell": "J1", "type": "open_range", "validation": { - "custom_error": "This cell must be a positive number", - "custom_title": "Positive numbers", - "formula1": "=AND(ISNUMBER(FIRSTCELLREF),OR(SIGN(FIRSTCELLREF)=0,SIGN(FIRSTCELLREF)=1))", + "custom_error": "This cell must be a number", + "custom_title": "Numbers", + "formula1": "=ISNUMBER(FIRSTCELLREF)", "type": "custom" } }, @@ -278,8 +278,8 @@ "format": "dollar", "formula": "=IF(G{0}=\"OTHER CLUSTER NOT LISTED ABOVE\",SUMIFS(amount_expended,uniform_other_cluster_name,X{0}), IF(AND(OR(G{0}=\"N/A\",G{0}=\"\"),H{0}=\"\"),0,IF(G{0}=\"STATE CLUSTER\",SUMIFS(amount_expended,uniform_state_cluster_name,W{0}),SUMIFS(amount_expended,cluster_name,G{0}))))", "help": { - "link": "https://fac.gov/documentation/validation/#positive_number", - "text": "The number must be zero or greater" + "link": "https://fac.gov/documentation/validation/#any_number", + "text": "Must be a number" }, "keep_locked": true, "range_name": "cluster_total", @@ -287,9 +287,9 @@ "title_cell": "K1", "type": "open_range", "validation": { - "custom_error": "This cell must be a positive number", - "custom_title": "Positive numbers", - "formula1": "=AND(ISNUMBER(FIRSTCELLREF),OR(SIGN(FIRSTCELLREF)=0,SIGN(FIRSTCELLREF)=1))", + "custom_error": "This cell must be a number", + "custom_title": "Numbers", + "formula1": "=ISNUMBER(FIRSTCELLREF)", "type": "custom" } }, @@ -393,8 +393,8 @@ { "format": "dollar", "help": { - "link": 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zP@11~glk8mf_Iw*5d!?Y2?W2-898$J)?v8{CM*Vp8vhCN4TW+FW_$p=gNrsA)Fzgz SaO^KIm5ZJ>Oz>7A67?@_Nq6S} diff --git a/backend/schemas/output/sections/FederalAwards.schema.json b/backend/schemas/output/sections/FederalAwards.schema.json index 842f87240b..0736da14f6 100644 --- a/backend/schemas/output/sections/FederalAwards.schema.json +++ b/backend/schemas/output/sections/FederalAwards.schema.json @@ -171,7 +171,6 @@ "type": "string" }, "cluster_total": { - "minimum": 0, "type": "number" }, "other_cluster_name": { @@ -397,7 +396,6 @@ "type": "string" }, "amount_expended": { - "minimum": 0, "type": "number" }, "audit_report_type": { @@ -424,7 +422,6 @@ "type": "string" }, "federal_program_total": { - "minimum": 0, "type": "number" }, "is_major": { @@ -495,7 +492,6 @@ "type": "string" }, "subrecipient_amount": { - "minimum": 0, "type": "number" } }, @@ -515,7 +511,6 @@ "type": "array" }, "total_amount_expended": { - "minimum": 0, "type": "number" } }, diff --git a/backend/schemas/source/excel/libs/Help.libsonnet b/backend/schemas/source/excel/libs/Help.libsonnet index d9396171a6..e6700cd216 100644 --- a/backend/schemas/source/excel/libs/Help.libsonnet +++ b/backend/schemas/source/excel/libs/Help.libsonnet @@ -48,6 +48,10 @@ local make_url = function(anchor) text: 'The number must be zero or greater', link: make_url('positive_number'), }, + any_number: { + text: 'Must be a number', + link: make_url('any_number'), + }, prior_references: { text: 'Must be a comma-separated list of reference numbers (YYYY-NNN) or N/A.', link: make_url('prior_references'), diff --git a/backend/schemas/source/excel/libs/SheetValidations.libsonnet b/backend/schemas/source/excel/libs/SheetValidations.libsonnet index 32b7c24d89..61e735d1a2 100644 --- a/backend/schemas/source/excel/libs/SheetValidations.libsonnet +++ b/backend/schemas/source/excel/libs/SheetValidations.libsonnet @@ -52,6 +52,14 @@ local PositiveNumberValidation = { custom_title: 'Positive numbers', }; +local NumberValidation = { + type: 'custom', + // Is it a number ? + formula1: '=ISNUMBER(FIRSTCELLREF)', + custom_error: 'This cell must be a number', + custom_title: 'Numbers', +}; + local ReferenceNumberValidation = { type: 'custom', //It is neccessary to allow blank otherwise user cannot delete the value @@ -87,6 +95,7 @@ local AwardReferenceValidation = { NoValidation: { type: 'NOVALIDATION' }, FAPPrefixValidation: FAPPrefixValidation, PositiveNumberValidation: PositiveNumberValidation, + NumberValidation: NumberValidation, LookupValidation: LookupValidation, RangeLookupValidation: RangeLookupValidation, StringOfLengthNine: StringOfSize(9), diff --git a/backend/schemas/source/excel/templates/federal-awards-workbook.jsonnet b/backend/schemas/source/excel/templates/federal-awards-workbook.jsonnet index d376220c96..d50a6c6fba 100644 --- a/backend/schemas/source/excel/templates/federal-awards-workbook.jsonnet +++ b/backend/schemas/source/excel/templates/federal-awards-workbook.jsonnet @@ -79,8 +79,8 @@ local single_cells = [ // FIXME MSHD: for improvement, will need to pull F from this formula and retrieve it dynamically. formula: "=SUM('" + awardSheet + "'!F$FIRSTROW:F$LASTROW)", width: 36, - help: Help.positive_number, - validation: SV.PositiveNumberValidation, + help: Help.any_number, + validation: SV.NumberValidation, }, ]; @@ -137,9 +137,9 @@ local open_ranges_defns = [ [ Sheets.open_range { format: 'dollar', - help: Help.positive_number, + help: Help.any_number, }, - SV.PositiveNumberValidation, + SV.NumberValidation, 'Amount Expended', amountExpendedNamedRange, ], @@ -176,9 +176,9 @@ local open_ranges_defns = [ keep_locked: true, format: 'dollar', formula: '=SUMIFS(' + amountExpendedNamedRange + ',' + cfdaKeyNamedRange + ',V{0})', - help: Help.positive_number, + help: Help.any_number, }, - SV.PositiveNumberValidation, + SV.NumberValidation, 'Federal Program Total', 'federal_program_total', ], @@ -187,9 +187,9 @@ local open_ranges_defns = [ keep_locked: true, format: 'dollar', formula: '=IF(G{0}="' + Base.Const.OTHER_CLUSTER + '",SUMIFS(' + amountExpendedNamedRange + ',' + uniformOtherClusterNamedRange + ',X{0}), IF(AND(OR(G{0}="' + Base.Const.NA + '",G{0}=""),H{0}=""),0,IF(G{0}="' + Base.Const.STATE_CLUSTER + '",SUMIFS(' + amountExpendedNamedRange + ',' + uniformStateClusterNamedRange + ',W{0}),SUMIFS(' + amountExpendedNamedRange + ',' + clusterNamedRange + ',G{0}))))', - help: Help.positive_number, + help: Help.any_number, }, - SV.PositiveNumberValidation, + SV.NumberValidation, 'Cluster Total', 'cluster_total', ], @@ -248,7 +248,7 @@ local open_ranges_defns = [ [ Sheets.open_range { format: 'dollar', - help: Help.positive_number, + help: Help.any_number, }, SV.NoValidation, 'If yes (Passed Through), Amount Passed Through to Subrecipients', diff --git a/backend/schemas/source/sections/FederalAwards.schema.jsonnet b/backend/schemas/source/sections/FederalAwards.schema.jsonnet index 9034ab4385..120b8c60ac 100644 --- a/backend/schemas/source/sections/FederalAwards.schema.jsonnet +++ b/backend/schemas/source/sections/FederalAwards.schema.jsonnet @@ -169,9 +169,7 @@ local Parts = { cluster_name: Types.string, other_cluster_name: Types.string, state_cluster_name: Types.string, - cluster_total: Types.number { - minimum: 0, - }, + cluster_total: Types.number, }, allOf: [ { @@ -311,9 +309,7 @@ local Parts = { additionalProperties: false, properties: { is_passed: Base.Enum.YorN, - subrecipient_amount: Types.number { - minimum: 0, - }, + subrecipient_amount: Types.number, }, allOf: Validations.SubrecipientValidations, }, @@ -324,12 +320,8 @@ local Parts = { three_digit_extension: Base.Compound.ThreeDigitExtension, additional_award_identification: Types.string, program_name: Types.string, - amount_expended: Types.number { - minimum: 0, - }, - federal_program_total: Types.number { - minimum: 0, - }, + amount_expended: Types.number, + federal_program_total: Types.number, is_major: Base.Enum.YorN, audit_report_type: Base.Enum.MajorProgramAuditReportType, number_of_audit_findings: Types.integer, @@ -383,9 +375,7 @@ local FederalAwards = Types.object { federal_awards: Types.array { items: FederalAwardEntry, }, - total_amount_expended: Types.number { - minimum: 0, - }, + total_amount_expended: Types.number, }, required: ['auditee_uei', 'total_amount_expended'], title: 'FederalAward', diff --git a/backend/schemas/source/sections/GeneralInformation.schema.jsonnet b/backend/schemas/source/sections/GeneralInformation.schema.jsonnet index 538d4a1b53..e783a483de 100644 --- a/backend/schemas/source/sections/GeneralInformation.schema.jsonnet +++ b/backend/schemas/source/sections/GeneralInformation.schema.jsonnet @@ -18,7 +18,7 @@ Typechecks fields, but allows for empty data as well. Contains conditional Check format: 'date', }, Base.Compound.EmptyString, - ] + ], }, auditee_fiscal_period_end: Types.string { oneOf: [ @@ -26,19 +26,19 @@ Typechecks fields, but allows for empty data as well. Contains conditional Check format: 'date', }, Base.Compound.EmptyString, - ] + ], }, audit_type: { oneOf: [ Base.Enum.AuditType, Base.Compound.EmptyString, - ] + ], }, audit_period_covered: { oneOf: [ Base.Enum.AuditPeriod, Base.Compound.EmptyString, - ] + ], }, audit_period_other_months: Types.string { maxLength: 100, @@ -68,7 +68,7 @@ Typechecks fields, but allows for empty data as well. Contains conditional Check title: 'State', }, Base.Compound.EmptyString, - ] + ], }, auditee_zip: { anyOf: [ @@ -87,7 +87,7 @@ Typechecks fields, but allows for empty data as well. Contains conditional Check oneOf: [ Base.Compound.UnitedStatesPhone, Base.Compound.EmptyString, - ] + ], }, auditee_email: Types.string { oneOf: [ @@ -95,11 +95,11 @@ Typechecks fields, but allows for empty data as well. Contains conditional Check format: 'email', }, Base.Compound.EmptyString, - ] + ], }, // Auditor information - auditor_ein: { + auditor_ein: { oneOf: [ Base.Compound.EmployerIdentificationNumber, Base.Compound.EmptyString, @@ -144,14 +144,14 @@ Typechecks fields, but allows for empty data as well. Contains conditional Check oneOf: [ Base.Compound.UnitedStatesPhone, Base.Compound.EmptyString, - ] + ], }, auditor_email: Types.string { oneOf: [ { format: 'email', }, - Base.Compound.EmptyString + Base.Compound.EmptyString, ], maxLength: 100, }, @@ -231,7 +231,7 @@ Typechecks fields, but allows for empty data as well. Contains conditional Check Base.Enum.UnitedStatesStateAbbr, Base.Compound.EmptyString, ], - } + }, }, }, }, diff --git a/backend/schemas/source/sections/GeneralInformationComplete.schema.jsonnet b/backend/schemas/source/sections/GeneralInformationComplete.schema.jsonnet index 8995183c93..407eaac153 100644 --- a/backend/schemas/source/sections/GeneralInformationComplete.schema.jsonnet +++ b/backend/schemas/source/sections/GeneralInformationComplete.schema.jsonnet @@ -107,7 +107,7 @@ Requires most fields, has consitional checks for conditional fields. minLength: 1, }, - // Others + // Others is_usa_based: Types.boolean, met_spending_threshold: Types.boolean, user_provided_organization_type: Base.Enum.OrganizationType, @@ -116,7 +116,7 @@ Requires most fields, has consitional checks for conditional fields. secondary_auditors_exist: Types.boolean, }, allOf: [ - // If audit_period_covered is 'other', then audit_period_other_months should + // If audit_period_covered is 'other', then audit_period_other_months should // have a value. Otherwise, it should have no value. { anyOf: [ @@ -205,7 +205,7 @@ Requires most fields, has consitional checks for conditional fields. const: true, }, }, - } + }, ], required: [ 'audit_type', @@ -236,7 +236,7 @@ Requires most fields, has consitional checks for conditional fields. 'multiple_eins_covered', 'multiple_ueis_covered', 'secondary_auditors_exist', - 'user_provided_organization_type' + 'user_provided_organization_type', ], title: 'GeneralInformation', type: 'object', diff --git a/backend/schemas/source/sections/TribalAccess.schema.jsonnet b/backend/schemas/source/sections/TribalAccess.schema.jsonnet index 26d113a90b..03f226a979 100644 --- a/backend/schemas/source/sections/TribalAccess.schema.jsonnet +++ b/backend/schemas/source/sections/TribalAccess.schema.jsonnet @@ -18,7 +18,7 @@ Typechecks fields, but allows for empty data as well. Contains conditional Check required: [ 'tribal_authorization_certifying_official_title', 'is_tribal_information_authorized_to_be_public', - 'tribal_authorization_certifying_official_name' + 'tribal_authorization_certifying_official_name', ], title: 'TribalAccess', type: 'object', From bd9439c66f83f58c552eab0250c820704036fb31 Mon Sep 17 00:00:00 2001 From: "Hassan D. M. Sambo" Date: Wed, 4 Oct 2023 09:22:44 -0400 Subject: [PATCH 3/6] #Logic change to handle validation scope issue --- backend/audit/excel.py | 43 ++++++++++++++++++++++++++++++++---------- 1 file changed, 33 insertions(+), 10 deletions(-) diff --git a/backend/audit/excel.py b/backend/audit/excel.py index 276e13f820..a3a538a52c 100644 --- a/backend/audit/excel.py +++ b/backend/audit/excel.py @@ -684,22 +684,23 @@ def extract_notes_to_sefa(file): return _extract_data(file, params) -def _extract_from_column_mapping(path, row_index, column_mapping, match=None): +def _extract_from_column_mapping(path, row_index, column_mapping, field_name=None): """Extract named ranges from column mapping""" for key, value in column_mapping.items(): if len(value) > 2 and ( value[0] + "." + value[1] == path - or (match and value[0] + "." + value[1] == path + "." + match.group(1)) + or (field_name and value[0] + "." + value[1] == path + "." + field_name) ): return key, row_index return None, None -def _extract_from_field_mapping(path, field_mapping, match=None): +def _extract_from_field_mapping(path, field_mapping, field_name=None): """Extract named ranges from field mapping""" for key, value in field_mapping.items(): if len(value) == 2 and ( - value[0] == path or (match and value[0] == ".".join([path, match.group(1)])) + value[0] == path + or (field_name and value[0] == ".".join([path, field_name])) ): return key, None return None, None @@ -711,8 +712,7 @@ def _extract_error_details(error): return None, None, None row_index = next((item for item in error.path if isinstance(item, int)), None) path = ".".join([item for item in error.path if not isinstance(item, int)]) - match = re.search(r"'(\w+)'", error.message) if error.message else None - return path, row_index, match + return path, row_index def _extract_key_from_award_entities(path, row_index, named_ranges): @@ -727,11 +727,32 @@ def _extract_key_from_award_entities(path, row_index, named_ranges): return None +def _extract_validation_field_name(error): + try: + # Parse the input data as JSON + data_dict = error.schema + # Check if the input data is in the format { ... 'not': {'required': ['field_name']}} + if "not" in data_dict and "required" in data_dict["not"]: + field_name = data_dict["not"]["required"][0] + # Check if the input data is in the format {...'required': ['field_name']} + elif "required" in data_dict: + field_name = data_dict["required"][0] + else: + field_name = ( + re.search(r"'(\w+)'", error.message).group(1) if error.message else None + ) + + return field_name + except json.JSONDecodeError: + return None + + def _extract_named_ranges(errors, column_mapping, field_mapping, meta_mapping): """Extract named ranges from column mapping and errors""" named_ranges = [] for error in errors: - path, row_index, match = _extract_error_details(error) + path, row_index = _extract_error_details(error) + field_name = _extract_validation_field_name(error) if not path: continue @@ -740,15 +761,17 @@ def _extract_named_ranges(errors, column_mapping, field_mapping, meta_mapping): if not keyFound: keyFound, row_index = _extract_from_column_mapping( - path, row_index, column_mapping, match + path, row_index, column_mapping, field_name ) if keyFound: named_ranges.append((keyFound, row_index)) if not keyFound: - keyFound, _ = _extract_from_field_mapping(path, field_mapping, match) + keyFound, _ = _extract_from_field_mapping(path, field_mapping, field_name) if not keyFound: - keyFound, _ = _extract_from_field_mapping(path, meta_mapping, match) + keyFound, _ = _extract_from_field_mapping( + path, meta_mapping, field_name + ) if keyFound: named_ranges.append((keyFound, None)) From 36507ab0b2a00d8df3294c4b7717f94321fb6efb Mon Sep 17 00:00:00 2001 From: "Hassan D. M. Sambo" Date: Wed, 4 Oct 2023 09:41:59 -0400 Subject: [PATCH 4/6] #2331 Bug fix --- backend/audit/excel.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/backend/audit/excel.py b/backend/audit/excel.py index a3a538a52c..428b9a5679 100644 --- a/backend/audit/excel.py +++ b/backend/audit/excel.py @@ -738,10 +738,8 @@ def _extract_validation_field_name(error): elif "required" in data_dict: field_name = data_dict["required"][0] else: - field_name = ( - re.search(r"'(\w+)'", error.message).group(1) if error.message else None - ) - + match = re.search(r"'(\w+)'", error.message) if error.message else None + field_name = match.group(1) if match else None return field_name except json.JSONDecodeError: return None From 1fa8afabc0f62426a7940314e05e5476f0f8e60a Mon Sep 17 00:00:00 2001 From: Matt Jadud Date: Wed, 4 Oct 2023 10:29:21 -0400 Subject: [PATCH 5/6] Fixes cells with just spaces We were passing cells with just spaces through, which are an invisible kind of error for users. We now strip() strings. --- backend/audit/excel.py | 1709 ++++++++++++++++++++-------------------- 1 file changed, 864 insertions(+), 845 deletions(-) diff --git a/backend/audit/excel.py b/backend/audit/excel.py index 428b9a5679..2ee75a6108 100644 --- a/backend/audit/excel.py +++ b/backend/audit/excel.py @@ -1,845 +1,864 @@ -from collections import namedtuple -import re -import json -from django.conf import settings -from typing import Any, Callable -from openpyxl import load_workbook, Workbook -from openpyxl.cell import Cell -from audit.fixtures.excel import ( - ADDITIONAL_UEIS_TEMPLATE_DEFINITION, - ADDITIONAL_EINS_TEMPLATE_DEFINITION, - CORRECTIVE_ACTION_TEMPLATE_DEFINITION, - FEDERAL_AWARDS_TEMPLATE_DEFINITION, - FINDINGS_TEXT_TEMPLATE_DEFINITION, - FINDINGS_UNIFORM_TEMPLATE_DEFINITION, - SECONDARY_AUDITORS_TEMPLATE_DEFINITION, - NOTES_TO_SEFA_TEMPLATE_DEFINITION, - FORM_SECTIONS, - UNKNOWN_WORKBOOK, -) -from audit.utils import ExcelExtractionError -import pydash - - -AWARD_ENTITY_NAME_PATH = ( - "FederalAwards.federal_awards.direct_or_indirect_award.entities.passthrough_name" -) -AWARD_ENTITY_ID_PATH = "FederalAwards.federal_awards.direct_or_indirect_award.entities.passthrough_identifying_number" -AWARD_ENTITY_NAME_KEY = "passthrough_name" -AWARD_ENTITY_ID_KEY = "passthrough_identifying_number" -FEDERAL_AGENCY_PREFIX = "federal_agency_prefix" -THREE_DIGIT_EXTENSION = "three_digit_extension" -SECTION_NAME = "section_name" -XLSX_TEMPLATE_DEFINITION_DIR = settings.XLSX_TEMPLATE_JSON_DIR - - -def _set_by_path(target_obj, target_path, value): - """Set a (potentially nested) field in target_obj using JSONPath-esque dot notation, e.g. parent.child[0].field""" - pydash.set_(target_obj, target_path, value) - - -""" -Defines the parameters for extracting data from an Excel file and mapping it to a JSON object -""" -ExtractDataParams = namedtuple( - "ExtractDataParams", - ["field_mapping", "column_mapping", "meta_mapping", "section", "header_row"], -) - - -""" -Maps a named Excel cell to a JSON path with a callable that applies the cell value to the target object -""" -FieldMapping = dict[str, tuple[str, Callable[[Any, Any, Any], Any]]] - -""" -Maps a named Excel column range to a JSON path with a callable that applies each cell value to the target object -""" -ColumnMapping = dict[str, tuple[str, str, Callable[[Any, Any, Any], Any]]] - - -def _set_pass_through_entity_name(obj, target, value): - for index, v in enumerate(value.split("|")): - _set_by_path(obj, f"{target}[{index}].passthrough_name", v) - - -def _set_pass_through_entity_id(obj, target, value): - for index, v in enumerate(value.split("|")): - _set_by_path(obj, f"{target}[{index}].passthrough_identifying_number", v) - - -meta_mapping: FieldMapping = { - SECTION_NAME: (f"Meta.{SECTION_NAME}", _set_by_path), -} -federal_awards_field_mapping: FieldMapping = { - "auditee_uei": ("FederalAwards.auditee_uei", _set_by_path), - "total_amount_expended": ("FederalAwards.total_amount_expended", _set_by_path), -} -corrective_action_field_mapping: FieldMapping = { - "auditee_uei": ("CorrectiveActionPlan.auditee_uei", _set_by_path), -} -findings_uniform_guidance_field_mapping: FieldMapping = { - "auditee_uei": ("FindingsUniformGuidance.auditee_uei", _set_by_path), -} -findings_text_field_mapping: FieldMapping = { - "auditee_uei": ("FindingsText.auditee_uei", _set_by_path), -} -additional_ueis_field_mapping: FieldMapping = { - "auditee_uei": ("AdditionalUEIs.auditee_uei", _set_by_path), -} -secondary_auditors_field_mapping: FieldMapping = { - "auditee_uei": ("SecondaryAuditors.auditee_uei", _set_by_path), -} -notes_to_sefa_field_mapping: FieldMapping = { - "auditee_uei": ("NotesToSefa.auditee_uei", _set_by_path), - "accounting_policies": ("NotesToSefa.accounting_policies", _set_by_path), - "is_minimis_rate_used": ("NotesToSefa.is_minimis_rate_used", _set_by_path), - "rate_explained": ("NotesToSefa.rate_explained", _set_by_path), -} -additional_eins_field_mapping: FieldMapping = { - "auditee_uei": ("AdditionalEINs.auditee_uei", _set_by_path), -} - -federal_awards_column_mapping: ColumnMapping = { - "federal_agency_prefix": ( - "FederalAwards.federal_awards", - f"program.{FEDERAL_AGENCY_PREFIX}", - _set_by_path, - ), - "three_digit_extension": ( - "FederalAwards.federal_awards", - f"program.{THREE_DIGIT_EXTENSION}", - _set_by_path, - ), - "additional_award_identification": ( - "FederalAwards.federal_awards", - "program.additional_award_identification", - _set_by_path, - ), - "program_name": ( - "FederalAwards.federal_awards", - "program.program_name", - _set_by_path, - ), - "amount_expended": ( - "FederalAwards.federal_awards", - "program.amount_expended", - _set_by_path, - ), - "cluster_name": ( - "FederalAwards.federal_awards", - "cluster.cluster_name", - _set_by_path, - ), - "state_cluster_name": ( - "FederalAwards.federal_awards", - "cluster.state_cluster_name", - _set_by_path, - ), - "other_cluster_name": ( - "FederalAwards.federal_awards", - "cluster.other_cluster_name", - _set_by_path, - ), - "federal_program_total": ( - "FederalAwards.federal_awards", - "program.federal_program_total", - _set_by_path, - ), - "cluster_total": ( - "FederalAwards.federal_awards", - "cluster.cluster_total", - _set_by_path, - ), - "is_guaranteed": ( - "FederalAwards.federal_awards", - "loan_or_loan_guarantee.is_guaranteed", - _set_by_path, - ), - "loan_balance_at_audit_period_end": ( - "FederalAwards.federal_awards", - "loan_or_loan_guarantee.loan_balance_at_audit_period_end", - _set_by_path, - ), - "is_direct": ( - "FederalAwards.federal_awards", - "direct_or_indirect_award.is_direct", - _set_by_path, - ), - AWARD_ENTITY_NAME_KEY: ( - "FederalAwards.federal_awards", - "direct_or_indirect_award.entities", - _set_pass_through_entity_name, - ), - AWARD_ENTITY_ID_KEY: ( - "FederalAwards.federal_awards", - "direct_or_indirect_award.entities", - _set_pass_through_entity_id, - ), - "is_passed": ( - "FederalAwards.federal_awards", - "subrecipients.is_passed", - _set_by_path, - ), - "subrecipient_amount": ( - "FederalAwards.federal_awards", - "subrecipients.subrecipient_amount", - _set_by_path, - ), - "is_major": ("FederalAwards.federal_awards", "program.is_major", _set_by_path), - "audit_report_type": ( - "FederalAwards.federal_awards", - "program.audit_report_type", - _set_by_path, - ), - "number_of_audit_findings": ( - "FederalAwards.federal_awards", - "program.number_of_audit_findings", - _set_by_path, - ), - "award_reference": ( - "FederalAwards.federal_awards", - "award_reference", - _set_by_path, - ), -} -corrective_action_column_mapping: ColumnMapping = { - "reference_number": ( - "CorrectiveActionPlan.corrective_action_plan_entries", - "reference_number", - _set_by_path, - ), - "planned_action": ( - "CorrectiveActionPlan.corrective_action_plan_entries", - "planned_action", - _set_by_path, - ), - "contains_chart_or_table": ( - "CorrectiveActionPlan.corrective_action_plan_entries", - "contains_chart_or_table", - _set_by_path, - ), -} -findings_uniform_guidance_column_mapping: ColumnMapping = { - "award_reference": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "program.award_reference", - _set_by_path, - ), - "reference_number": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "findings.reference_number", - _set_by_path, - ), - "compliance_requirement": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "program.compliance_requirement", - _set_by_path, - ), - "modified_opinion": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "modified_opinion", - _set_by_path, - ), - "other_matters": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "other_matters", - _set_by_path, - ), - "material_weakness": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "material_weakness", - _set_by_path, - ), - "significant_deficiency": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "significant_deficiency", - _set_by_path, - ), - "other_findings": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "other_findings", - _set_by_path, - ), - "questioned_costs": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "questioned_costs", - _set_by_path, - ), - "repeat_prior_reference": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "findings.repeat_prior_reference", - _set_by_path, - ), - "prior_references": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "findings.prior_references", - _set_by_path, - ), - "is_valid": ( - "FindingsUniformGuidance.findings_uniform_guidance_entries", - "findings.is_valid", - _set_by_path, - ), -} -findings_text_column_mapping: ColumnMapping = { - "reference_number": ( - "FindingsText.findings_text_entries", - "reference_number", - _set_by_path, - ), - "text_of_finding": ( - "FindingsText.findings_text_entries", - "text_of_finding", - _set_by_path, - ), - "contains_chart_or_table": ( - "FindingsText.findings_text_entries", - "contains_chart_or_table", - _set_by_path, - ), -} -additional_ueis_column_mapping: ColumnMapping = { - "additional_uei": ( - "AdditionalUEIs.additional_ueis_entries", - "additional_uei", - _set_by_path, - ), -} -additional_eins_column_mapping: ColumnMapping = { - "additional_ein": ( - "AdditionalEINs.additional_eins_entries", - "additional_ein", - _set_by_path, - ), -} -secondary_auditors_column_mapping: ColumnMapping = { - "secondary_auditor_name": ( - "SecondaryAuditors.secondary_auditors_entries", - "secondary_auditor_name", - _set_by_path, - ), - "secondary_auditor_ein": ( - "SecondaryAuditors.secondary_auditors_entries", - "secondary_auditor_ein", - _set_by_path, - ), - "secondary_auditor_address_street": ( - "SecondaryAuditors.secondary_auditors_entries", - "secondary_auditor_address_street", - _set_by_path, - ), - "secondary_auditor_address_city": ( - "SecondaryAuditors.secondary_auditors_entries", - "secondary_auditor_address_city", - _set_by_path, - ), - "secondary_auditor_address_state": ( - "SecondaryAuditors.secondary_auditors_entries", - "secondary_auditor_address_state", - _set_by_path, - ), - "secondary_auditor_address_zipcode": ( - "SecondaryAuditors.secondary_auditors_entries", - "secondary_auditor_address_zipcode", - _set_by_path, - ), - "secondary_auditor_contact_name": ( - "SecondaryAuditors.secondary_auditors_entries", - "secondary_auditor_contact_name", - _set_by_path, - ), - "secondary_auditor_contact_title": ( - "SecondaryAuditors.secondary_auditors_entries", - "secondary_auditor_contact_title", - _set_by_path, - ), - "secondary_auditor_contact_phone": ( - "SecondaryAuditors.secondary_auditors_entries", - "secondary_auditor_contact_phone", - _set_by_path, - ), - "secondary_auditor_contact_email": ( - "SecondaryAuditors.secondary_auditors_entries", - "secondary_auditor_contact_email", - _set_by_path, - ), -} - -notes_to_sefa_column_mapping: ColumnMapping = { - "note_title": ( - "NotesToSefa.notes_to_sefa_entries", - "note_title", - _set_by_path, - ), - "note_content": ( - "NotesToSefa.notes_to_sefa_entries", - "note_content", - _set_by_path, - ), - "contains_chart_or_table": ( - "NotesToSefa.notes_to_sefa_entries", - "contains_chart_or_table", - _set_by_path, - ), - "seq_number": ( - "NotesToSefa.notes_to_sefa_entries", - "seq_number", - _set_by_path, - ), -} - - -def _extract_single_value(workbook, name): - """Extract a single value from the workbook with the defined name""" - definition = workbook.defined_names[name] - - for sheet_title, cell_coord in definition.destinations: - sheet = workbook[sheet_title] - cell = sheet[cell_coord] - - if not isinstance(cell, Cell): - raise ExcelExtractionError( - f"_extract_single_value expected type Cell, got {type(cell)}" - ) - - return cell.value - - -def _extract_column(workbook, name): - """Extacts a column of values from the workbook with the defined name""" - definition = workbook.defined_names[name] - - for sheet_title, cell_coord in definition.destinations: - sheet = workbook[sheet_title] - cell_range = sheet[cell_coord] - - if not isinstance(cell_range, tuple): - raise ExcelExtractionError( - f"_extract_column expected cell_range to be type tuple, got {type(cell_range)}" - ) - - for cell in cell_range: - if not isinstance(cell, tuple): - raise ExcelExtractionError( - f"_extract_column expected cell to be type tuple, got {type(cell)}" - ) - - if not len(cell) == 1: - raise ExcelExtractionError( - f"_extract_column expected tuple with length 1, got {len(cell)}" - ) - - if not isinstance(cell[0], Cell): - raise ExcelExtractionError( - f"_extract_column expected type Cell, got {type(cell)}" - ) - - if cell[0].value is not None: - # Return row number and value - yield cell[0].row, cell[0].value - - -def _open_workbook(file): - if isinstance(file, Workbook): - return file - else: - return load_workbook(filename=file, data_only=True) - - -def _get_entries_by_path(dictionary, path): - keys = path.split(".") - val = dictionary - for key in keys: - try: - val = val[key] - except KeyError: - return [] - return val - - -def _extract_data(file, params: ExtractDataParams) -> dict: - """ - Extracts data from an Excel file using provided field and column mappings - """ - workbook = _open_workbook(file) - result: dict = {} - - if SECTION_NAME not in workbook.defined_names: - raise ExcelExtractionError( - "The uploaded workbook template does not originate from SF-SAC.", - error_key=UNKNOWN_WORKBOOK, - ) - - try: - _extract_meta_and_field_data(workbook, params, result) - if result.get("Meta", {}).get(SECTION_NAME) == params.section: - _extract_column_data(workbook, result, params) - return result - - except AttributeError as e: - raise ExcelExtractionError(e) - - -def _extract_meta_and_field_data(workbook, params, result): - for name, (target, set_fn) in params.meta_mapping.items(): - set_fn(result, target, _extract_single_value(workbook, name)) - - if result.get("Meta", {}).get(SECTION_NAME) == params.section: - for name, (target, set_fn) in params.field_mapping.items(): - set_fn(result, target, _extract_single_value(workbook, name)) - - -def _extract_column_data(workbook, result, params): - for i, (name, (parent_target, field_target, set_fn)) in enumerate( - params.column_mapping.items() - ): - for row, value in _extract_column(workbook, name): - index = (row - params.header_row) - 1 # Make it zero-indexed - set_fn(result, f"{parent_target}[{index}].{field_target}", value) - - # Handle null entries when index/row is skipped in the first column - if i == 0: - entries = [ - entry if entry is not None else {} - for entry in _get_entries_by_path(result, parent_target) - ] - if entries: - set_fn(result, f"{parent_target}", entries) - - -def _has_only_one_field_with_value_0(my_dict, field_name): - """Check if the dictionary has exactly one field with the provided name and its value is 0""" - return len(my_dict) == 1 and my_dict.get(field_name) == 0 - - -def _remove_empty_award_entries(data): - """Removes empty award entries from the data""" - awards = [] - for award in data.get("FederalAwards", {}).get("federal_awards", []): - if not all( - [ - "direct_or_indirect_award" not in award, - "loan_or_loan_guarantee" not in award, - "subrecipients" not in award, - "program" in award - and _has_only_one_field_with_value_0( - award["program"], "federal_program_total" - ), - "cluster" in award - and _has_only_one_field_with_value_0(award["cluster"], "cluster_total"), - ] - ): - awards.append(award) - if "FederalAwards" in data: - # Update the federal_awards with the valid awards - data["FederalAwards"]["federal_awards"] = awards - - return data - - -def _add_required_fields(data): - """Adds empty parent fields to the json object to allow for proper schema validation / indexing""" - indexed_awards = [] - for award in data.get("FederalAwards", {}).get("federal_awards", []): - if "cluster" not in award: - award["cluster"] = {} - if "direct_or_indirect_award" not in award: - award["direct_or_indirect_award"] = {} - if "loan_or_loan_guarantee" not in award: - award["loan_or_loan_guarantee"] = {} - if "program" not in award: - award["program"] = {} - if "subrecipients" not in award: - award["subrecipients"] = {} - indexed_awards.append(award) - - if "FederalAwards" in data: - # Update the federal_awards with all required fields - data["FederalAwards"]["federal_awards"] = indexed_awards - - return data - - -def extract_federal_awards(file): - template_definition_path = ( - XLSX_TEMPLATE_DEFINITION_DIR / FEDERAL_AWARDS_TEMPLATE_DEFINITION - ) - template = json.loads(template_definition_path.read_text(encoding="utf-8")) - params = ExtractDataParams( - federal_awards_field_mapping, - federal_awards_column_mapping, - meta_mapping, - FORM_SECTIONS.FEDERAL_AWARDS_EXPENDED, - template["title_row"], - ) - result = _extract_data(file, params) - result = _remove_empty_award_entries(result) - result = _add_required_fields(result) - return result - - -def extract_corrective_action_plan(file): - template_definition_path = ( - XLSX_TEMPLATE_DEFINITION_DIR / CORRECTIVE_ACTION_TEMPLATE_DEFINITION - ) - template = json.loads(template_definition_path.read_text(encoding="utf-8")) - params = ExtractDataParams( - corrective_action_field_mapping, - corrective_action_column_mapping, - meta_mapping, - FORM_SECTIONS.CORRECTIVE_ACTION_PLAN, - template["title_row"], - ) - return _extract_data(file, params) - - -def extract_findings_uniform_guidance(file): - template_definition_path = ( - XLSX_TEMPLATE_DEFINITION_DIR / FINDINGS_UNIFORM_TEMPLATE_DEFINITION - ) - template = json.loads(template_definition_path.read_text(encoding="utf-8")) - params = ExtractDataParams( - findings_uniform_guidance_field_mapping, - findings_uniform_guidance_column_mapping, - meta_mapping, - FORM_SECTIONS.FINDINGS_UNIFORM_GUIDANCE, - template["title_row"], - ) - return _extract_data(file, params) - - -def extract_findings_text(file): - template_definition_path = ( - XLSX_TEMPLATE_DEFINITION_DIR / FINDINGS_TEXT_TEMPLATE_DEFINITION - ) - template = json.loads(template_definition_path.read_text(encoding="utf-8")) - params = ExtractDataParams( - findings_text_field_mapping, - findings_text_column_mapping, - meta_mapping, - FORM_SECTIONS.FINDINGS_TEXT, - template["title_row"], - ) - return _extract_data(file, params) - - -def extract_additional_ueis(file): - template_definition_path = ( - XLSX_TEMPLATE_DEFINITION_DIR / ADDITIONAL_UEIS_TEMPLATE_DEFINITION - ) - template = json.loads(template_definition_path.read_text(encoding="utf-8")) - params = ExtractDataParams( - additional_ueis_field_mapping, - additional_ueis_column_mapping, - meta_mapping, - FORM_SECTIONS.ADDITIONAL_UEIS, - template["title_row"], - ) - return _extract_data(file, params) - - -def extract_additional_eins(file): - template_definition_path = ( - XLSX_TEMPLATE_DEFINITION_DIR / ADDITIONAL_EINS_TEMPLATE_DEFINITION - ) - template = json.loads(template_definition_path.read_text(encoding="utf-8")) - params = ExtractDataParams( - additional_eins_field_mapping, - additional_eins_column_mapping, - meta_mapping, - FORM_SECTIONS.ADDITIONAL_EINS, - template["title_row"], - ) - return _extract_data(file, params) - - -def extract_secondary_auditors(file): - template_definition_path = ( - XLSX_TEMPLATE_DEFINITION_DIR / SECONDARY_AUDITORS_TEMPLATE_DEFINITION - ) - template = json.loads(template_definition_path.read_text(encoding="utf-8")) - params = ExtractDataParams( - secondary_auditors_field_mapping, - secondary_auditors_column_mapping, - meta_mapping, - FORM_SECTIONS.SECONDARY_AUDITORS, - template["title_row"], - ) - return _extract_data(file, params) - - -def extract_notes_to_sefa(file): - template_definition_path = ( - XLSX_TEMPLATE_DEFINITION_DIR / NOTES_TO_SEFA_TEMPLATE_DEFINITION - ) - template = json.loads(template_definition_path.read_text(encoding="utf-8")) - params = ExtractDataParams( - notes_to_sefa_field_mapping, - notes_to_sefa_column_mapping, - meta_mapping, - FORM_SECTIONS.NOTES_TO_SEFA, - template["title_row"], - ) - return _extract_data(file, params) - - -def _extract_from_column_mapping(path, row_index, column_mapping, field_name=None): - """Extract named ranges from column mapping""" - for key, value in column_mapping.items(): - if len(value) > 2 and ( - value[0] + "." + value[1] == path - or (field_name and value[0] + "." + value[1] == path + "." + field_name) - ): - return key, row_index - return None, None - - -def _extract_from_field_mapping(path, field_mapping, field_name=None): - """Extract named ranges from field mapping""" - for key, value in field_mapping.items(): - if len(value) == 2 and ( - value[0] == path - or (field_name and value[0] == ".".join([path, field_name])) - ): - return key, None - return None, None - - -def _extract_error_details(error): - if not bool(error.path): - print("No path found in error object") - return None, None, None - row_index = next((item for item in error.path if isinstance(item, int)), None) - path = ".".join([item for item in error.path if not isinstance(item, int)]) - return path, row_index - - -def _extract_key_from_award_entities(path, row_index, named_ranges): - if path in [AWARD_ENTITY_NAME_PATH, AWARD_ENTITY_ID_PATH]: - key = ( - AWARD_ENTITY_NAME_KEY - if path == AWARD_ENTITY_NAME_PATH - else AWARD_ENTITY_ID_KEY - ) - named_ranges.append((key, row_index)) - return key - return None - - -def _extract_validation_field_name(error): - try: - # Parse the input data as JSON - data_dict = error.schema - # Check if the input data is in the format { ... 'not': {'required': ['field_name']}} - if "not" in data_dict and "required" in data_dict["not"]: - field_name = data_dict["not"]["required"][0] - # Check if the input data is in the format {...'required': ['field_name']} - elif "required" in data_dict: - field_name = data_dict["required"][0] - else: - match = re.search(r"'(\w+)'", error.message) if error.message else None - field_name = match.group(1) if match else None - return field_name - except json.JSONDecodeError: - return None - - -def _extract_named_ranges(errors, column_mapping, field_mapping, meta_mapping): - """Extract named ranges from column mapping and errors""" - named_ranges = [] - for error in errors: - path, row_index = _extract_error_details(error) - field_name = _extract_validation_field_name(error) - if not path: - continue - - # Extract named ranges from column mapping for award entities - keyFound = _extract_key_from_award_entities(path, row_index, named_ranges) - - if not keyFound: - keyFound, row_index = _extract_from_column_mapping( - path, row_index, column_mapping, field_name - ) - if keyFound: - named_ranges.append((keyFound, row_index)) - - if not keyFound: - keyFound, _ = _extract_from_field_mapping(path, field_mapping, field_name) - if not keyFound: - keyFound, _ = _extract_from_field_mapping( - path, meta_mapping, field_name - ) - if keyFound: - named_ranges.append((keyFound, None)) - - if not keyFound: - print(f"No named range matches this error path: {error.path}") - - return named_ranges - - -def corrective_action_plan_named_ranges(errors): - return _extract_named_ranges( - errors, - corrective_action_column_mapping, - corrective_action_field_mapping, - meta_mapping, - ) - - -def federal_awards_named_ranges(errors): - return _extract_named_ranges( - errors, - federal_awards_column_mapping, - federal_awards_field_mapping, - meta_mapping, - ) - - -def findings_uniform_guidance_named_ranges(errors): - return _extract_named_ranges( - errors, - findings_uniform_guidance_column_mapping, - findings_uniform_guidance_field_mapping, - meta_mapping, - ) - - -def findings_text_named_ranges(errors): - return _extract_named_ranges( - errors, findings_text_column_mapping, findings_text_field_mapping, meta_mapping - ) - - -def additional_ueis_named_ranges(errors): - return _extract_named_ranges( - errors, - additional_ueis_column_mapping, - additional_ueis_field_mapping, - meta_mapping, - ) - - -def additional_eins_named_ranges(errors): - return _extract_named_ranges( - errors, - additional_eins_column_mapping, - additional_eins_field_mapping, - meta_mapping, - ) - - -def secondary_auditors_named_ranges(errors): - return _extract_named_ranges( - errors, - secondary_auditors_column_mapping, - secondary_auditors_field_mapping, - meta_mapping, - ) - - -def notes_to_sefa_named_ranges(errors): - return _extract_named_ranges( - errors, notes_to_sefa_column_mapping, notes_to_sefa_field_mapping, meta_mapping - ) +from collections import namedtuple +import re +import json +from django.conf import settings +from typing import Any, Callable +from openpyxl import load_workbook, Workbook +from openpyxl.cell import Cell +from audit.fixtures.excel import ( + ADDITIONAL_UEIS_TEMPLATE_DEFINITION, + ADDITIONAL_EINS_TEMPLATE_DEFINITION, + CORRECTIVE_ACTION_TEMPLATE_DEFINITION, + FEDERAL_AWARDS_TEMPLATE_DEFINITION, + FINDINGS_TEXT_TEMPLATE_DEFINITION, + FINDINGS_UNIFORM_TEMPLATE_DEFINITION, + SECONDARY_AUDITORS_TEMPLATE_DEFINITION, + NOTES_TO_SEFA_TEMPLATE_DEFINITION, + FORM_SECTIONS, + UNKNOWN_WORKBOOK, +) +from audit.utils import ExcelExtractionError +import pydash + + +AWARD_ENTITY_NAME_PATH = ( + "FederalAwards.federal_awards.direct_or_indirect_award.entities.passthrough_name" +) +AWARD_ENTITY_ID_PATH = "FederalAwards.federal_awards.direct_or_indirect_award.entities.passthrough_identifying_number" +AWARD_ENTITY_NAME_KEY = "passthrough_name" +AWARD_ENTITY_ID_KEY = "passthrough_identifying_number" +FEDERAL_AGENCY_PREFIX = "federal_agency_prefix" +THREE_DIGIT_EXTENSION = "three_digit_extension" +SECTION_NAME = "section_name" +XLSX_TEMPLATE_DEFINITION_DIR = settings.XLSX_TEMPLATE_JSON_DIR + +def _set_by_path(target_obj, target_path, value): + """Set a (potentially nested) field in target_obj using JSONPath-esque dot notation, e.g. parent.child[0].field""" + # IF a user: + # * Prefixes a cell with a space + # * Suffixes a cell with a space + # * Enters only spaces (typically, just one...) + # THEN + # We do not want to set that value in the JSON object. + # SO + # We trim, and then check if we have "elimiated" the string. + # If so, we pass. Do not modify the object. + # Otherwise, set the object to the trimmed string. + # We only do this for string values. + if isinstance(value, str): + value = value.strip() + if value == "": + pass + else: + pydash.set_(target_obj, target_path, value) + else: + pydash.set_(target_obj, target_path, value) + + +""" +Defines the parameters for extracting data from an Excel file and mapping it to a JSON object +""" +ExtractDataParams = namedtuple( + "ExtractDataParams", + ["field_mapping", "column_mapping", "meta_mapping", "section", "header_row"], +) + + +""" +Maps a named Excel cell to a JSON path with a callable that applies the cell value to the target object +""" +FieldMapping = dict[str, tuple[str, Callable[[Any, Any, Any], Any]]] + +""" +Maps a named Excel column range to a JSON path with a callable that applies each cell value to the target object +""" +ColumnMapping = dict[str, tuple[str, str, Callable[[Any, Any, Any], Any]]] + + +def _set_pass_through_entity_name(obj, target, value): + for index, v in enumerate(value.split("|")): + _set_by_path(obj, f"{target}[{index}].passthrough_name", v) + + +def _set_pass_through_entity_id(obj, target, value): + for index, v in enumerate(value.split("|")): + _set_by_path(obj, f"{target}[{index}].passthrough_identifying_number", v) + + +meta_mapping: FieldMapping = { + SECTION_NAME: (f"Meta.{SECTION_NAME}", _set_by_path), +} +federal_awards_field_mapping: FieldMapping = { + "auditee_uei": ("FederalAwards.auditee_uei", _set_by_path), + "total_amount_expended": ("FederalAwards.total_amount_expended", _set_by_path), +} +corrective_action_field_mapping: FieldMapping = { + "auditee_uei": ("CorrectiveActionPlan.auditee_uei", _set_by_path), +} +findings_uniform_guidance_field_mapping: FieldMapping = { + "auditee_uei": ("FindingsUniformGuidance.auditee_uei", _set_by_path), +} +findings_text_field_mapping: FieldMapping = { + "auditee_uei": ("FindingsText.auditee_uei", _set_by_path), +} +additional_ueis_field_mapping: FieldMapping = { + "auditee_uei": ("AdditionalUEIs.auditee_uei", _set_by_path), +} +secondary_auditors_field_mapping: FieldMapping = { + "auditee_uei": ("SecondaryAuditors.auditee_uei", _set_by_path), +} +notes_to_sefa_field_mapping: FieldMapping = { + "auditee_uei": ("NotesToSefa.auditee_uei", _set_by_path), + "accounting_policies": ("NotesToSefa.accounting_policies", _set_by_path), + "is_minimis_rate_used": ("NotesToSefa.is_minimis_rate_used", _set_by_path), + "rate_explained": ("NotesToSefa.rate_explained", _set_by_path), +} +additional_eins_field_mapping: FieldMapping = { + "auditee_uei": ("AdditionalEINs.auditee_uei", _set_by_path), +} + +federal_awards_column_mapping: ColumnMapping = { + "federal_agency_prefix": ( + "FederalAwards.federal_awards", + f"program.{FEDERAL_AGENCY_PREFIX}", + _set_by_path, + ), + "three_digit_extension": ( + "FederalAwards.federal_awards", + f"program.{THREE_DIGIT_EXTENSION}", + _set_by_path, + ), + "additional_award_identification": ( + "FederalAwards.federal_awards", + "program.additional_award_identification", + _set_by_path, + ), + "program_name": ( + "FederalAwards.federal_awards", + "program.program_name", + _set_by_path, + ), + "amount_expended": ( + "FederalAwards.federal_awards", + "program.amount_expended", + _set_by_path, + ), + "cluster_name": ( + "FederalAwards.federal_awards", + "cluster.cluster_name", + _set_by_path, + ), + "state_cluster_name": ( + "FederalAwards.federal_awards", + "cluster.state_cluster_name", + _set_by_path, + ), + "other_cluster_name": ( + "FederalAwards.federal_awards", + "cluster.other_cluster_name", + _set_by_path, + ), + "federal_program_total": ( + "FederalAwards.federal_awards", + "program.federal_program_total", + _set_by_path, + ), + "cluster_total": ( + "FederalAwards.federal_awards", + "cluster.cluster_total", + _set_by_path, + ), + "is_guaranteed": ( + "FederalAwards.federal_awards", + "loan_or_loan_guarantee.is_guaranteed", + _set_by_path, + ), + "loan_balance_at_audit_period_end": ( + "FederalAwards.federal_awards", + "loan_or_loan_guarantee.loan_balance_at_audit_period_end", + _set_by_path, + ), + "is_direct": ( + "FederalAwards.federal_awards", + "direct_or_indirect_award.is_direct", + _set_by_path, + ), + AWARD_ENTITY_NAME_KEY: ( + "FederalAwards.federal_awards", + "direct_or_indirect_award.entities", + _set_pass_through_entity_name, + ), + AWARD_ENTITY_ID_KEY: ( + "FederalAwards.federal_awards", + "direct_or_indirect_award.entities", + _set_pass_through_entity_id, + ), + "is_passed": ( + "FederalAwards.federal_awards", + "subrecipients.is_passed", + _set_by_path, + ), + "subrecipient_amount": ( + "FederalAwards.federal_awards", + "subrecipients.subrecipient_amount", + _set_by_path, + ), + "is_major": ("FederalAwards.federal_awards", "program.is_major", _set_by_path), + "audit_report_type": ( + "FederalAwards.federal_awards", + "program.audit_report_type", + _set_by_path, + ), + "number_of_audit_findings": ( + "FederalAwards.federal_awards", + "program.number_of_audit_findings", + _set_by_path, + ), + "award_reference": ( + "FederalAwards.federal_awards", + "award_reference", + _set_by_path, + ), +} +corrective_action_column_mapping: ColumnMapping = { + "reference_number": ( + "CorrectiveActionPlan.corrective_action_plan_entries", + "reference_number", + _set_by_path, + ), + "planned_action": ( + "CorrectiveActionPlan.corrective_action_plan_entries", + "planned_action", + _set_by_path, + ), + "contains_chart_or_table": ( + "CorrectiveActionPlan.corrective_action_plan_entries", + "contains_chart_or_table", + _set_by_path, + ), +} +findings_uniform_guidance_column_mapping: ColumnMapping = { + "award_reference": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "program.award_reference", + _set_by_path, + ), + "reference_number": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "findings.reference_number", + _set_by_path, + ), + "compliance_requirement": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "program.compliance_requirement", + _set_by_path, + ), + "modified_opinion": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "modified_opinion", + _set_by_path, + ), + "other_matters": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "other_matters", + _set_by_path, + ), + "material_weakness": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "material_weakness", + _set_by_path, + ), + "significant_deficiency": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "significant_deficiency", + _set_by_path, + ), + "other_findings": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "other_findings", + _set_by_path, + ), + "questioned_costs": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "questioned_costs", + _set_by_path, + ), + "repeat_prior_reference": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "findings.repeat_prior_reference", + _set_by_path, + ), + "prior_references": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "findings.prior_references", + _set_by_path, + ), + "is_valid": ( + "FindingsUniformGuidance.findings_uniform_guidance_entries", + "findings.is_valid", + _set_by_path, + ), +} +findings_text_column_mapping: ColumnMapping = { + "reference_number": ( + "FindingsText.findings_text_entries", + "reference_number", + _set_by_path, + ), + "text_of_finding": ( + "FindingsText.findings_text_entries", + "text_of_finding", + _set_by_path, + ), + "contains_chart_or_table": ( + "FindingsText.findings_text_entries", + "contains_chart_or_table", + _set_by_path, + ), +} +additional_ueis_column_mapping: ColumnMapping = { + "additional_uei": ( + "AdditionalUEIs.additional_ueis_entries", + "additional_uei", + _set_by_path, + ), +} +additional_eins_column_mapping: ColumnMapping = { + "additional_ein": ( + "AdditionalEINs.additional_eins_entries", + "additional_ein", + _set_by_path, + ), +} +secondary_auditors_column_mapping: ColumnMapping = { + "secondary_auditor_name": ( + "SecondaryAuditors.secondary_auditors_entries", + "secondary_auditor_name", + _set_by_path, + ), + "secondary_auditor_ein": ( + "SecondaryAuditors.secondary_auditors_entries", + "secondary_auditor_ein", + _set_by_path, + ), + "secondary_auditor_address_street": ( + "SecondaryAuditors.secondary_auditors_entries", + "secondary_auditor_address_street", + _set_by_path, + ), + "secondary_auditor_address_city": ( + "SecondaryAuditors.secondary_auditors_entries", + "secondary_auditor_address_city", + _set_by_path, + ), + "secondary_auditor_address_state": ( + "SecondaryAuditors.secondary_auditors_entries", + "secondary_auditor_address_state", + _set_by_path, + ), + "secondary_auditor_address_zipcode": ( + "SecondaryAuditors.secondary_auditors_entries", + "secondary_auditor_address_zipcode", + _set_by_path, + ), + "secondary_auditor_contact_name": ( + "SecondaryAuditors.secondary_auditors_entries", + "secondary_auditor_contact_name", + _set_by_path, + ), + "secondary_auditor_contact_title": ( + "SecondaryAuditors.secondary_auditors_entries", + "secondary_auditor_contact_title", + _set_by_path, + ), + "secondary_auditor_contact_phone": ( + "SecondaryAuditors.secondary_auditors_entries", + "secondary_auditor_contact_phone", + _set_by_path, + ), + "secondary_auditor_contact_email": ( + "SecondaryAuditors.secondary_auditors_entries", + "secondary_auditor_contact_email", + _set_by_path, + ), +} + +notes_to_sefa_column_mapping: ColumnMapping = { + "note_title": ( + "NotesToSefa.notes_to_sefa_entries", + "note_title", + _set_by_path, + ), + "note_content": ( + "NotesToSefa.notes_to_sefa_entries", + "note_content", + _set_by_path, + ), + "contains_chart_or_table": ( + "NotesToSefa.notes_to_sefa_entries", + "contains_chart_or_table", + _set_by_path, + ), + "seq_number": ( + "NotesToSefa.notes_to_sefa_entries", + "seq_number", + _set_by_path, + ), +} + + +def _extract_single_value(workbook, name): + """Extract a single value from the workbook with the defined name""" + definition = workbook.defined_names[name] + + for sheet_title, cell_coord in definition.destinations: + sheet = workbook[sheet_title] + cell = sheet[cell_coord] + + if not isinstance(cell, Cell): + raise ExcelExtractionError( + f"_extract_single_value expected type Cell, got {type(cell)}" + ) + + return cell.value + + +def _extract_column(workbook, name): + """Extacts a column of values from the workbook with the defined name""" + definition = workbook.defined_names[name] + + for sheet_title, cell_coord in definition.destinations: + sheet = workbook[sheet_title] + cell_range = sheet[cell_coord] + + if not isinstance(cell_range, tuple): + raise ExcelExtractionError( + f"_extract_column expected cell_range to be type tuple, got {type(cell_range)}" + ) + + for cell in cell_range: + if not isinstance(cell, tuple): + raise ExcelExtractionError( + f"_extract_column expected cell to be type tuple, got {type(cell)}" + ) + + if not len(cell) == 1: + raise ExcelExtractionError( + f"_extract_column expected tuple with length 1, got {len(cell)}" + ) + + if not isinstance(cell[0], Cell): + raise ExcelExtractionError( + f"_extract_column expected type Cell, got {type(cell)}" + ) + + if cell[0].value is not None: + # Return row number and value + yield cell[0].row, cell[0].value + + +def _open_workbook(file): + if isinstance(file, Workbook): + return file + else: + return load_workbook(filename=file, data_only=True) + + +def _get_entries_by_path(dictionary, path): + keys = path.split(".") + val = dictionary + for key in keys: + try: + val = val[key] + except KeyError: + return [] + return val + + +def _extract_data(file, params: ExtractDataParams) -> dict: + """ + Extracts data from an Excel file using provided field and column mappings + """ + workbook = _open_workbook(file) + result: dict = {} + + if SECTION_NAME not in workbook.defined_names: + raise ExcelExtractionError( + "The uploaded workbook template does not originate from SF-SAC.", + error_key=UNKNOWN_WORKBOOK, + ) + + try: + _extract_meta_and_field_data(workbook, params, result) + if result.get("Meta", {}).get(SECTION_NAME) == params.section: + _extract_column_data(workbook, result, params) + return result + + except AttributeError as e: + raise ExcelExtractionError(e) + + +def _extract_meta_and_field_data(workbook, params, result): + for name, (target, set_fn) in params.meta_mapping.items(): + set_fn(result, target, _extract_single_value(workbook, name)) + + if result.get("Meta", {}).get(SECTION_NAME) == params.section: + for name, (target, set_fn) in params.field_mapping.items(): + set_fn(result, target, _extract_single_value(workbook, name)) + + +def _extract_column_data(workbook, result, params): + for i, (name, (parent_target, field_target, set_fn)) in enumerate( + params.column_mapping.items() + ): + for row, value in _extract_column(workbook, name): + index = (row - params.header_row) - 1 # Make it zero-indexed + set_fn(result, f"{parent_target}[{index}].{field_target}", value) + + # Handle null entries when index/row is skipped in the first column + if i == 0: + entries = [ + entry if entry is not None else {} + for entry in _get_entries_by_path(result, parent_target) + ] + if entries: + set_fn(result, f"{parent_target}", entries) + + +def _has_only_one_field_with_value_0(my_dict, field_name): + """Check if the dictionary has exactly one field with the provided name and its value is 0""" + return len(my_dict) == 1 and my_dict.get(field_name) == 0 + + +def _remove_empty_award_entries(data): + """Removes empty award entries from the data""" + awards = [] + for award in data.get("FederalAwards", {}).get("federal_awards", []): + if not all( + [ + "direct_or_indirect_award" not in award, + "loan_or_loan_guarantee" not in award, + "subrecipients" not in award, + "program" in award + and _has_only_one_field_with_value_0( + award["program"], "federal_program_total" + ), + "cluster" in award + and _has_only_one_field_with_value_0(award["cluster"], "cluster_total"), + ] + ): + awards.append(award) + if "FederalAwards" in data: + # Update the federal_awards with the valid awards + data["FederalAwards"]["federal_awards"] = awards + + return data + + +def _add_required_fields(data): + """Adds empty parent fields to the json object to allow for proper schema validation / indexing""" + indexed_awards = [] + for award in data.get("FederalAwards", {}).get("federal_awards", []): + if "cluster" not in award: + award["cluster"] = {} + if "direct_or_indirect_award" not in award: + award["direct_or_indirect_award"] = {} + if "loan_or_loan_guarantee" not in award: + award["loan_or_loan_guarantee"] = {} + if "program" not in award: + award["program"] = {} + if "subrecipients" not in award: + award["subrecipients"] = {} + indexed_awards.append(award) + + if "FederalAwards" in data: + # Update the federal_awards with all required fields + data["FederalAwards"]["federal_awards"] = indexed_awards + + print(data) + + return data + + +def extract_federal_awards(file): + template_definition_path = ( + XLSX_TEMPLATE_DEFINITION_DIR / FEDERAL_AWARDS_TEMPLATE_DEFINITION + ) + template = json.loads(template_definition_path.read_text(encoding="utf-8")) + params = ExtractDataParams( + federal_awards_field_mapping, + federal_awards_column_mapping, + meta_mapping, + FORM_SECTIONS.FEDERAL_AWARDS_EXPENDED, + template["title_row"], + ) + result = _extract_data(file, params) + result = _remove_empty_award_entries(result) + result = _add_required_fields(result) + return result + + +def extract_corrective_action_plan(file): + template_definition_path = ( + XLSX_TEMPLATE_DEFINITION_DIR / CORRECTIVE_ACTION_TEMPLATE_DEFINITION + ) + template = json.loads(template_definition_path.read_text(encoding="utf-8")) + params = ExtractDataParams( + corrective_action_field_mapping, + corrective_action_column_mapping, + meta_mapping, + FORM_SECTIONS.CORRECTIVE_ACTION_PLAN, + template["title_row"], + ) + return _extract_data(file, params) + + +def extract_findings_uniform_guidance(file): + template_definition_path = ( + XLSX_TEMPLATE_DEFINITION_DIR / FINDINGS_UNIFORM_TEMPLATE_DEFINITION + ) + template = json.loads(template_definition_path.read_text(encoding="utf-8")) + params = ExtractDataParams( + findings_uniform_guidance_field_mapping, + findings_uniform_guidance_column_mapping, + meta_mapping, + FORM_SECTIONS.FINDINGS_UNIFORM_GUIDANCE, + template["title_row"], + ) + return _extract_data(file, params) + + +def extract_findings_text(file): + template_definition_path = ( + XLSX_TEMPLATE_DEFINITION_DIR / FINDINGS_TEXT_TEMPLATE_DEFINITION + ) + template = json.loads(template_definition_path.read_text(encoding="utf-8")) + params = ExtractDataParams( + findings_text_field_mapping, + findings_text_column_mapping, + meta_mapping, + FORM_SECTIONS.FINDINGS_TEXT, + template["title_row"], + ) + return _extract_data(file, params) + + +def extract_additional_ueis(file): + template_definition_path = ( + XLSX_TEMPLATE_DEFINITION_DIR / ADDITIONAL_UEIS_TEMPLATE_DEFINITION + ) + template = json.loads(template_definition_path.read_text(encoding="utf-8")) + params = ExtractDataParams( + additional_ueis_field_mapping, + additional_ueis_column_mapping, + meta_mapping, + FORM_SECTIONS.ADDITIONAL_UEIS, + template["title_row"], + ) + return _extract_data(file, params) + + +def extract_additional_eins(file): + template_definition_path = ( + XLSX_TEMPLATE_DEFINITION_DIR / ADDITIONAL_EINS_TEMPLATE_DEFINITION + ) + template = json.loads(template_definition_path.read_text(encoding="utf-8")) + params = ExtractDataParams( + additional_eins_field_mapping, + additional_eins_column_mapping, + meta_mapping, + FORM_SECTIONS.ADDITIONAL_EINS, + template["title_row"], + ) + return _extract_data(file, params) + + +def extract_secondary_auditors(file): + template_definition_path = ( + XLSX_TEMPLATE_DEFINITION_DIR / SECONDARY_AUDITORS_TEMPLATE_DEFINITION + ) + template = json.loads(template_definition_path.read_text(encoding="utf-8")) + params = ExtractDataParams( + secondary_auditors_field_mapping, + secondary_auditors_column_mapping, + meta_mapping, + FORM_SECTIONS.SECONDARY_AUDITORS, + template["title_row"], + ) + return _extract_data(file, params) + + +def extract_notes_to_sefa(file): + template_definition_path = ( + XLSX_TEMPLATE_DEFINITION_DIR / NOTES_TO_SEFA_TEMPLATE_DEFINITION + ) + template = json.loads(template_definition_path.read_text(encoding="utf-8")) + params = ExtractDataParams( + notes_to_sefa_field_mapping, + notes_to_sefa_column_mapping, + meta_mapping, + FORM_SECTIONS.NOTES_TO_SEFA, + template["title_row"], + ) + return _extract_data(file, params) + + +def _extract_from_column_mapping(path, row_index, column_mapping, field_name=None): + """Extract named ranges from column mapping""" + for key, value in column_mapping.items(): + if len(value) > 2 and ( + value[0] + "." + value[1] == path + or (field_name and value[0] + "." + value[1] == path + "." + field_name) + ): + return key, row_index + return None, None + + +def _extract_from_field_mapping(path, field_mapping, field_name=None): + """Extract named ranges from field mapping""" + for key, value in field_mapping.items(): + if len(value) == 2 and ( + value[0] == path + or (field_name and value[0] == ".".join([path, field_name])) + ): + return key, None + return None, None + + +def _extract_error_details(error): + if not bool(error.path): + print("No path found in error object") + return None, None, None + row_index = next((item for item in error.path if isinstance(item, int)), None) + path = ".".join([item for item in error.path if not isinstance(item, int)]) + return path, row_index + + +def _extract_key_from_award_entities(path, row_index, named_ranges): + if path in [AWARD_ENTITY_NAME_PATH, AWARD_ENTITY_ID_PATH]: + key = ( + AWARD_ENTITY_NAME_KEY + if path == AWARD_ENTITY_NAME_PATH + else AWARD_ENTITY_ID_KEY + ) + named_ranges.append((key, row_index)) + return key + return None + + +def _extract_validation_field_name(error): + try: + # Parse the input data as JSON + data_dict = error.schema + # Check if the input data is in the format { ... 'not': {'required': ['field_name']}} + if "not" in data_dict and "required" in data_dict["not"]: + field_name = data_dict["not"]["required"][0] + # Check if the input data is in the format {...'required': ['field_name']} + elif "required" in data_dict: + field_name = data_dict["required"][0] + else: + match = re.search(r"'(\w+)'", error.message) if error.message else None + field_name = match.group(1) if match else None + return field_name + except json.JSONDecodeError: + return None + + +def _extract_named_ranges(errors, column_mapping, field_mapping, meta_mapping): + """Extract named ranges from column mapping and errors""" + named_ranges = [] + for error in errors: + path, row_index = _extract_error_details(error) + field_name = _extract_validation_field_name(error) + if not path: + continue + + # Extract named ranges from column mapping for award entities + keyFound = _extract_key_from_award_entities(path, row_index, named_ranges) + + if not keyFound: + keyFound, row_index = _extract_from_column_mapping( + path, row_index, column_mapping, field_name + ) + if keyFound: + named_ranges.append((keyFound, row_index)) + + if not keyFound: + keyFound, _ = _extract_from_field_mapping(path, field_mapping, field_name) + if not keyFound: + keyFound, _ = _extract_from_field_mapping( + path, meta_mapping, field_name + ) + if keyFound: + named_ranges.append((keyFound, None)) + + if not keyFound: + print(f"No named range matches this error path: {error.path}") + + return named_ranges + + +def corrective_action_plan_named_ranges(errors): + return _extract_named_ranges( + errors, + corrective_action_column_mapping, + corrective_action_field_mapping, + meta_mapping, + ) + + +def federal_awards_named_ranges(errors): + return _extract_named_ranges( + errors, + federal_awards_column_mapping, + federal_awards_field_mapping, + meta_mapping, + ) + + +def findings_uniform_guidance_named_ranges(errors): + return _extract_named_ranges( + errors, + findings_uniform_guidance_column_mapping, + findings_uniform_guidance_field_mapping, + meta_mapping, + ) + + +def findings_text_named_ranges(errors): + return _extract_named_ranges( + errors, findings_text_column_mapping, findings_text_field_mapping, meta_mapping + ) + + +def additional_ueis_named_ranges(errors): + return _extract_named_ranges( + errors, + additional_ueis_column_mapping, + additional_ueis_field_mapping, + meta_mapping, + ) + + +def additional_eins_named_ranges(errors): + return _extract_named_ranges( + errors, + additional_eins_column_mapping, + additional_eins_field_mapping, + meta_mapping, + ) + + +def secondary_auditors_named_ranges(errors): + return _extract_named_ranges( + errors, + secondary_auditors_column_mapping, + secondary_auditors_field_mapping, + meta_mapping, + ) + + +def notes_to_sefa_named_ranges(errors): + return _extract_named_ranges( + errors, notes_to_sefa_column_mapping, notes_to_sefa_field_mapping, meta_mapping + ) From 6ab64d756b9b8b74f94ddc61f8f45145603fa5b1 Mon Sep 17 00:00:00 2001 From: Matt Jadud Date: Wed, 4 Oct 2023 10:43:19 -0400 Subject: [PATCH 6/6] Lint, remove print --- backend/audit/excel.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/backend/audit/excel.py b/backend/audit/excel.py index 2ee75a6108..72896276de 100644 --- a/backend/audit/excel.py +++ b/backend/audit/excel.py @@ -32,6 +32,7 @@ SECTION_NAME = "section_name" XLSX_TEMPLATE_DEFINITION_DIR = settings.XLSX_TEMPLATE_JSON_DIR + def _set_by_path(target_obj, target_path, value): """Set a (potentially nested) field in target_obj using JSONPath-esque dot notation, e.g. parent.child[0].field""" # IF a user: @@ -575,8 +576,6 @@ def _add_required_fields(data): # Update the federal_awards with all required fields data["FederalAwards"]["federal_awards"] = indexed_awards - print(data) - return data

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