LabWare_CDS_Bridge_Connector
LabWare CDS Bridge Connector
Utility description: LabWare CDS Bridge Connector
LabWare CDS Bridge Connector — Integration of Analytical Data with LabWare LIMS ℹ️ Utility converts analysis results into JSON format compatible with LabWare LIMS: • Standard structure: Header, Samples, Results • Metadata support: BatchNumber, SampleID, ProductName, TestName • Built-in Audit Trail for ALCOA+ compliance • Clear result statuses: PASS (1), FAIL (0), ERROR (-1) ⚠️ CRITICAL: Incorrect JSON format will cause import errors in LIMS! Use this utility as the final step of data processing from any Lumex instrument. Usage: LabWare_CDS_Bridge_Connector.exe → demo mode (console output) LabWare_CDS_Bridge_Connector.exe input.csv output.json → generate file for LabWare Input format: BatchNumber,SampleID,Value1,Value2,Value3 Example: LW-BATCH-001,SMP-001-A,99.5,0.1,0.05 — WHY IS THIS NEEDED? Laboratories using LabWare LIMS require standardized data input from chromatographs, spectrometers, and other instruments. • Manual data entry is prone to errors and violates ALCOA+ principles. • Direct integration via CDS (Chromatography Data System) Bridge allows automatic result loading. • This utility serves as a universal adapter for any script or instrument, forming a unified data exchange standard. • Supports audit trail recording system actions during data processing. ⚠️ CRITICAL: • "SampleID" field must exactly match the sample identifier in LIMS. • "BatchNumber" field is used for grouping samples into batches. • PASS/FAIL statuses must be set based on product specifications. • Audit Trail must contain a record of each processing stage (import, calculation, finalization). Key features: • Universal output format for any analytical methods. • Compliance with 21 CFR Part 11 and EU GMP Annex 11 requirements. • Easily extensible for adding new parameters. Critical parameters: • Structure: Header/Samples/Results • Audit Trail: Present • Status Codes: 1 (Pass), 0 (Fail), -1 (Error) 💡 Usage tips: 1. Integrate this utility at the end of data processing workflows (after HPLC, GC, FTIR, etc.). 2. Configure automatic utility execution after analysis completion on the instrument. 3. Use the output JSON file for automatic loading into LabWare via the CDS Bridge module. 4. Check LIMS import logs for any data format warnings. 5. Store source CSV files and output JSON files in a secure archive for auditing. ⚠️ Note: This utility does not perform analytical calculations itself, but packages results from other utilities (or simple data) into a format understood by the Laboratory Information Management System (LIMS).
input.csv
BatchNumber,SampleID,Value1,Value2,Value3 LW-BATCH-001,SMP-001-A,99.5,0.1,0.05 LW-BATCH-001,SMP-001-B,98.2,0.2,0.08 LW-BATCH-002,SMP-002-A,92.0,0.5,0.15
Utility description
LabWare CDS Bridge Connector — Integration of Analytical Data with LabWare LIMS ℹ️ Utility converts analysis results into JSON format compatible with LabWare LIMS: • Standard structure: Header, Samples, Results • Metadata support: BatchNumber, SampleID, ProductName, TestName • Built-in Audit Trail for ALCOA+ compliance • Clear result statuses: PASS (1), FAIL (0), ERROR (-1) ⚠️ CRITICAL: Incorrect JSON format will cause import errors in LIMS! Use this utility as the final step of data processing from any Lumex instrument. Usage: LabWare_CDS_Bridge_Connector.exe → demo mode (console output) LabWare_CDS_Bridge_Connector.exe input.csv output.json → generate file for LabWare Input format: BatchNumber,SampleID,Value1,Value2,Value3 Example: LW-BATCH-001,SMP-001-A,99.5,0.1,0.05 — WHY IS THIS NEEDED? Laboratories using LabWare LIMS require standardized data input from chromatographs, spectrometers, and other instruments. • Manual data entry is prone to errors and violates ALCOA+ principles. • Direct integration via CDS (Chromatography Data System) Bridge allows automatic result loading. • This utility serves as a universal adapter for any script or instrument, forming a unified data exchange standard. • Supports audit trail recording system actions during data processing. ⚠️ CRITICAL: • "SampleID" field must exactly match the sample identifier in LIMS. • "BatchNumber" field is used for grouping samples into batches. • PASS/FAIL statuses must be set based on product specifications. • Audit Trail must contain a record of each processing stage (import, calculation, finalization). Key features: • Universal output format for any analytical methods. • Compliance with 21 CFR Part 11 and EU GMP Annex 11 requirements. • Easily extensible for adding new parameters. Critical parameters: • Structure: Header/Samples/Results • Audit Trail: Present • Status Codes: 1 (Pass), 0 (Fail), -1 (Error) 💡 Usage tips: 1. Integrate this utility at the end of data processing workflows (after HPLC, GC, FTIR, etc.). 2. Configure automatic utility execution after analysis completion on the instrument. 3. Use the output JSON file for automatic loading into LabWare via the CDS Bridge module. 4. Check LIMS import logs for any data format warnings. 5. Store source CSV files and output JSON files in a secure archive for auditing. ⚠️ Note: This utility does not perform analytical calculations itself, but packages results from other utilities (or simple data) into a format understood by the Laboratory Information Management System (LIMS).
URS & FS — User Requirements and Functional Specification
This document describes the controlled interface, user requirements and functional behaviour of LabWare_CDS_Bridge_Connector. The utility is intended for automated verification of laboratory, pharmacopoeial, analytical or manufacturing QC parameters using input.csv and producing a structured output.json result.
Domain limits and critical parameters
- • Manual data entry is prone to errors and violates ALCOA+ principles.
- • Direct integration via CDS (Chromatography Data System) Bridge allows automatic result loading.
- • This utility serves as a universal adapter for any script or instrument, forming a unified data exchange standard.
- • Supports audit trail recording system actions during data processing.
- • "SampleID" field must exactly match the sample identifier in LIMS.
- • "BatchNumber" field is used for grouping samples into batches.
- • PASS/FAIL statuses must be set based on product specifications.
- • Audit Trail must contain a record of each processing stage (import, calculation, finalization).
- • Universal output format for any analytical methods.
- • Compliance with 21 CFR Part 11 and EU GMP Annex 11 requirements.
- • Easily extensible for adding new parameters.
- • Structure: Header/Samples/Results
- • Audit Trail: Present
- • Status Codes: 1 (Pass), 0 (Fail), -1 (Error)
URS — User Requirements Specification
| ID | Requirement | Criticality | Acceptance criterion |
|---|---|---|---|
| URS-001 | The utility shall accept an input.csv file with exact headers defined in the data contract. | High | The file is processed without manual header editing. |
| URS-002 | The utility shall perform deterministic evaluation for LabWare CDS Bridge Connector using input values, approved limits and domain rules. | High | Each row receives a PASS / WARNING / FAIL status. |
| URS-003 | The utility shall validate mandatory fields, data types, numeric ranges, units and domain plausibility. | High | Schema, format and conversion errors are explicitly reported. |
| URS-004 | The utility shall identify critical deviations for parameters stated in the method description and specification. | High | A critical deviation causes FAIL or a dedicated critical finding. |
| URS-005 | The utility shall generate output.json with machine-readable results, source values, warnings and failures. | High | JSON is suitable for LIMS/ELN/MES integration, QA/QC review and archival. |
| URS-006 | The result shall not depend on machine learning or undocumented heuristics. | Medium | All decisions are based on explicit rules, thresholds and input values. |
| URS-007 | The system shall preserve traceability between batch/sample, input data, applied rules and final status. | High | The output contains the batch/sample identifier and checked parameters. |
| URS-008 | The documentation shall support IQ/OQ/PQ preparation and inspection discussion. | Medium | URS, FS, CSV/JSON contract and test scenarios are supplied with the utility. |
| URS-009 | The utility shall support batch processing of multiple input.csv rows. | Medium | Each row is evaluated independently; errors in one row do not mask errors in others. |
| URS-010 | The utility shall support a simple operating model: demo mode and execution with input/output files. | Medium | The CLI scenario is reproducible in test and production environments. |
input.csv contract
| # | Field | Type | Sample | Purpose |
|---|---|---|---|---|
| 1 | BatchNumber | string | LW-BATCH-001 | Batch or lot identifier used for traceability, review and deviation investigation. |
| 2 | SampleID | string | SMP-001-A | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 3 | Value1 | decimal | 99.5 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 4 | Value2 | decimal | 0.1 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 5 | Value3 | decimal | 0.05 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
BatchNumber,SampleID,Value1,Value2,Value3 LW-BATCH-001,SMP-001-A,99.5,0.1,0.05 LW-BATCH-001,SMP-001-B,98.2,0.2,0.08 LW-BATCH-002,SMP-002-A,92.0,0.5,0.15
FS — Functional Specification
| ID | Function | Implementation |
|---|---|---|
| FS-001 | CSV import | Read input.csv in UTF-8/CSV-compatible format and validate the header and expected columns. |
| FS-002 | Schema validation | Check mandatory fields, column count, critical missing values and row structure. |
| FS-003 | Type conversion | Convert numeric, flag and text values; invalid formats are recorded as row-level errors. |
| FS-004 | Domain rule engine | Apply domain rules for LabWare CDS Bridge Connector, including limits from the utility description and approved specification. |
| FS-005 | Status aggregation | Produce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance. |
| FS-006 | JSON export | Write output.json with detailed checks, source values, warnings, failures and critical findings. |
| FS-007 | Audit support | Keep the result structure suitable for review, deviation investigation, calculation reproduction and IQ/OQ/PQ preparation. |
| FS-008 | Integration contract | Support the production scenario: LIMS/ELN/MES creates input.csv, the utility returns output.json, and the portal displays description and documentation. |
| FS-009 | Error handling | Report errors unambiguously and do not substitute missing values with calculated values unless the rule is explicitly defined. |
| FS-010 | Version control support | Document the utility version, input contract, executable checksum and rule application date. |
Example output.json
{
"utilityId": "labware-cds-bridge-connector",
"utilityName": "LabWare_CDS_Bridge_Connector",
"overallStatus": "PASS|WARNING|FAIL",
"sourceFile": "input.csv",
"checks": [
{
"parameter": "BatchNumber",
"value": "LW-BATCH-001",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "SampleID",
"value": "SMP-001-A",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Value1",
"value": "99.5",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Value2",
"value": "0.1",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Value3",
"value": "0.05",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
}
],
"criticalFindings": [],
"warnings": [],
"generatedFor": "QA/QC review and LIMS integration"
}
Traceability matrix
| URS | FS | OQ/PQ coverage |
|---|---|---|
| URS-001, URS-003 | FS-001, FS-002, FS-003 | OQ-001/OQ-002/OQ-003 |
| URS-002, URS-004 | FS-004, FS-005 | OQ-004/PQ-001 |
| URS-005, URS-007 | FS-006, FS-007 | OQ-005/PQ-002 |
| URS-008, URS-010 | FS-008, FS-010 | IQ-001/OQ-006 |
OQ/PQ test scenarios
| ID | Scenario | Expected result |
|---|---|---|
| OQ-001 | Valid sample row | PASS or acceptable WARNING according to the rules. |
| OQ-002 | Mandatory column missing | Schema error or FAIL. |
| OQ-003 | Non-numeric value in numeric field | Type-conversion error. |
| OQ-004 | Critical parameter outside limit | FAIL and critical finding. |
| OQ-005 | Multiple rows with different statuses | Independent row-level evaluation. |
| PQ-001 | User real batch/sample | Reviewed result with retained input/output files. |
QA/QC and change control
- Do not rename columns without updating the validator, documentation and test set.
- Retain
input.csv,output.json, executable version, documentation and checksum. - Before production use, perform IQ/OQ/PQ or equivalent CSV/CSA verification.
- Critical limits must be verified against the approved specification, local SOPs and registration dossier.
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Open