feat(classifier): add multilingual ECP inherence classifier POC

This commit is contained in:
2026-08-20 00:51:02 -03:00
parent d371b81aa4
commit 67cc40f91a
175 changed files with 30399 additions and 703 deletions
@@ -0,0 +1,516 @@
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"id": "agents_skills_graphify_references_exports_graphify_reference_extra_exports_and_benchmark",
"label": "graphify reference: extra exports and benchmark",
"degree": 8
},
{
"id": "agents_skills_ponytail_skill_ponytail",
"label": "Ponytail",
"degree": 8
},
{
"id": "agents_skills_speckit_converge_skill_execution_steps",
"label": "Execution Steps",
"degree": 7
},
{
"id": "agents_skills_ponytail_help_skill_ponytail_help",
"label": "Ponytail Help",
"degree": 7
},
{
"id": "agents_skills_speckit_analyze_skill_4_detection_passes_token_efficient_analysis",
"label": "4. Detection Passes (Token-Efficient Analysis)",
"degree": 7
},
{
"id": "agents_skills_speckit_analyze_skill_execution_steps",
"label": "Execution Steps",
"degree": 7
},
{
"id": "specify_memory_constitution_core_principles",
"label": "Core Principles",
"degree": 6
}
],
"surprises": [],
"questions": [
{
"type": "bridge_node",
"question": "Why does `Execution Steps` connect `Analysis Detection` to `Specification Analysis`?",
"why": "High betweenness centrality (0.004) - this node is a cross-community bridge."
},
{
"type": "isolated_nodes",
"question": "What connects `Format: `[ID] [P?] [Story] Description``, `Implementation for User Story 1`, `Implementation for User Story 2` to the rest of the system?",
"why": "212 weakly-connected nodes found - possible documentation gaps or missing edges."
},
{
"type": "low_cohesion",
"question": "Should `Task Planning` be split into smaller, more focused modules?",
"why": "Cohesion score 0.07407407407407407 - nodes in this community are weakly interconnected."
},
{
"type": "low_cohesion",
"question": "Should `Convergence Workflow` be split into smaller, more focused modules?",
"why": "Cohesion score 0.125 - nodes in this community are weakly interconnected."
},
{
"type": "low_cohesion",
"question": "Should `Graphify Commands` be split into smaller, more focused modules?",
"why": "Cohesion score 0.08 - nodes in this community are weakly interconnected."
}
]
}
@@ -0,0 +1,82 @@
{
"0": "Task Planning",
"1": "Convergence Workflow",
"2": "SpecKit Utilities",
"3": "Graphify Commands",
"4": "speckit-analyze/SKILL.md",
"5": "Tasks: Multilingual NLP Entity Inherence Classifier (POC)",
"6": "Feature Specification Template",
"7": "Graphify Rules",
"8": "Implementation Planning",
"9": "Feature Specification",
"10": "Task Generation",
"11": "Project Constitution",
"12": "Constitution Template",
"13": "Graphify Exports",
"14": "Ponytail Configuration",
"15": "Implementation Planning Template",
"16": "Ponytail Help",
"17": "Checklist Generation",
"18": "Clarification Workflow",
"19": "Implementation Workflow",
"20": "Graph Query",
"21": "Constitution Workflow",
"22": "Feature Branch Creation",
"23": "Ponytail Audit",
"24": "Ponytail Metrics",
"25": "Ponytail Review",
"26": "Task Issue Conversion",
"27": "Checklist Template",
"28": "Graphify Watch Mode",
"29": "Graphify Hooks",
"30": "Graphify Updates",
"31": "Ponytail Debt",
"32": "Repository Merge",
"33": "Media Transcription",
"34": "Extraction Specification",
"35": "Prerequisite Checks",
"36": "Template Resolution",
"37": "Plan Setup",
"38": "Task Setup",
"39": "Graphify Workflows",
"40": "Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)",
"41": "1. Technical Decisions & Tradeoffs",
"42": "1. Input Schemas",
"43": "2. Basic CLI Usage Examples",
"44": "2. Standard Streams & Exit Codes",
"45": "ECPSnapshot",
"46": "classifier.py",
"47": "detect_language",
"48": "main",
"49": "content_northvolt_de.md",
"50": "content_presal_pt.md",
"51": "content_tangential_es.md",
"52": "adapters/__init__.py",
"53": "src/__init__.py",
"54": "de/contextual.md",
"55": "de/direct.md",
"56": "de/not_related.md",
"57": "de/tangential.md",
"58": "en/contextual.md",
"59": "en/direct.md",
"60": "en/not_related.md",
"61": "en/tangential.md",
"62": "es/contextual.md",
"63": "es/direct.md",
"64": "es/not_related.md",
"65": "es/tangential.md",
"66": "fr/contextual.md",
"67": "fr/direct.md",
"68": "fr/not_related.md",
"69": "fr/tangential.md",
"70": "it/contextual.md",
"71": "it/direct.md",
"72": "it/not_related.md",
"73": "it/tangential.md",
"74": "pt/contextual.md",
"75": "pt/direct.md",
"76": "pt/not_related.md",
"77": "pt/tangential.md",
"78": "tests/__init__.py",
"79": "text-nlp-classifier"
}
+301
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# Graph Report - TextNLPClassifierApp (2026-08-20)
## Corpus Check
- 132 files · ~53,988 words
- Verdict: corpus is large enough that graph structure adds value.
## Summary
- 579 nodes · 674 edges · 80 communities (43 shown, 37 thin omitted)
- Extraction: 96% EXTRACTED · 4% INFERRED · 0% AMBIGUOUS · INFERRED: 28 edges (avg confidence: 0.95)
- Token cost: 0 input · 0 output
## Graph Freshness
- Built from commit: `d371b81a`
- Run `git rev-parse HEAD` and compare to check if the graph is stale.
- Run `graphify update .` after code changes (no API cost).
## Community Hubs (Navigation)
- Task Planning
- Convergence Workflow
- SpecKit Utilities
- Graphify Commands
- speckit-analyze/SKILL.md
- Tasks: Multilingual NLP Entity Inherence Classifier (POC)
- Feature Specification Template
- Graphify Rules
- Implementation Planning
- Feature Specification
- Task Generation
- Project Constitution
- Constitution Template
- Graphify Exports
- Ponytail Configuration
- Implementation Planning Template
- Ponytail Help
- Checklist Generation
- Clarification Workflow
- Implementation Workflow
- Graph Query
- Constitution Workflow
- Feature Branch Creation
- Ponytail Audit
- Ponytail Metrics
- Ponytail Review
- Task Issue Conversion
- Checklist Template
- Graphify Watch Mode
- Graphify Hooks
- Graphify Updates
- Ponytail Debt
- Repository Merge
- Media Transcription
- Extraction Specification
- Graphify Workflows
- Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)
- 1. Technical Decisions & Tradeoffs
- 1. Input Schemas
- 2. Basic CLI Usage Examples
- 2. Standard Streams & Exit Codes
- ECPSnapshot
- classifier.py
- detect_language
- main
- content_northvolt_de.md
- content_presal_pt.md
- content_tangential_es.md
- adapters/__init__.py
- src/__init__.py
- de/contextual.md
- de/direct.md
- de/not_related.md
- de/tangential.md
- en/contextual.md
- en/direct.md
- en/not_related.md
- en/tangential.md
- es/contextual.md
- es/direct.md
- es/not_related.md
- es/tangential.md
- fr/contextual.md
- fr/direct.md
- fr/not_related.md
- fr/tangential.md
- it/contextual.md
- it/direct.md
- it/not_related.md
- it/tangential.md
- pt/contextual.md
- pt/direct.md
- pt/not_related.md
- pt/tangential.md
- tests/__init__.py
- text-nlp-classifier
## God Nodes (most connected - your core abstractions)
1. `ECPSnapshot` - 27 edges
2. `InherenceClassifier` - 21 edges
3. `ClassificationResult` - 17 edges
4. `LocalEmbeddingsAdapter` - 14 edges
5. `LLMFallbackAdapter` - 14 edges
6. `detect_language()` - 14 edges
7. `DecisionCategory` - 14 edges
8. `main()` - 13 edges
9. `Tasks: [FEATURE NAME]` - 13 edges
10. `BaseNLPAdapter` - 12 edges
## Surprising Connections (you probably didn't know these)
- `main()` --uses--> `ECPSnapshot` [INFERRED]
classify.py → src/models.py
- `main()` --uses--> `ErrorCode` [INFERRED]
classify.py → src/models.py
- `test_classification_result_serialization()` --uses--> `DecisionCategory` [INFERRED]
tests/test_models.py → src/models.py
- `petrobras_ecp()` --uses--> `ECPSnapshot` [INFERRED]
tests/test_classifier.py → src/models.py
- `emit_error()` --uses--> `ErrorCode` [INFERRED]
classify.py → src/models.py
## Import Cycles
- None detected.
## Communities (80 total, 37 thin omitted)
### Community 0 - "Task Planning"
Cohesion: 0.07
Nodes (26): Dependencies & Execution Order, Format: `[ID] [P?] [Story] Description`, Implementation for User Story 1, Implementation for User Story 2, Implementation for User Story 3, Implementation Strategy, Incremental Delivery, MVP First (User Story 1 Only) (+18 more)
### Community 1 - "Convergence Workflow"
Cohesion: 0.12
Nodes (15): 1. Initialize Convergence Context, 2. Load Artifacts (Progressive Disclosure), 3. Build the Intent Inventory, 4. Assess the Codebase and Classify Findings, 5. Assign Severity, 6. Present the In-Session Findings Summary, 7. Append Convergence Tasks (or report converged), 8. Provide Next Actions (Handoff) (+7 more)
### Community 2 - "SpecKit Utilities"
Cohesion: 0.23
Nodes (13): Find-SpecifyRoot(), Format-SpecKitCommand(), Get-CurrentBranch(), Get-FeaturePathsEnv(), Get-InvokeSeparator(), Get-NormalizedPriority(), Get-Python3Command(), Get-RepoRoot() (+5 more)
### Community 3 - "Graphify Commands"
Cohesion: 0.08
Nodes (24): For /graphify add and --watch, For /graphify query, For the commit hook and native CLAUDE.md integration, For --update and --cluster-only, /graphify, Honesty Rules, Interpreter guard for subcommands, Part A - Structural extraction for code files (+16 more)
### Community 4 - "speckit-analyze/SKILL.md"
Cohesion: 0.08
Nodes (25): 1. Initialize Analysis Context, 2. Load Artifacts (Progressive Disclosure), 3. Build Semantic Models, 4. Detection Passes (Token-Efficient Analysis), 5. Severity Assignment, 6. Produce Compact Analysis Report, 7. Provide Next Actions, 8. Offer Remediation (+17 more)
### Community 5 - "Tasks: Multilingual NLP Entity Inherence Classifier (POC)"
Cohesion: 0.06
Nodes (33): 1. Requirement Completeness & Scope Boundaries, 2. Requirement Clarity & Decision Semantics, 3. Requirement Consistency & Alignment, 4. Acceptance Criteria & Measurability, 5. Scenario & Edge Case Coverage, Notes, POC Readiness & Requirements Quality Checklist: Multilingual NLP Entity Inherence Classifier, Content Quality (+25 more)
### Community 6 - "Feature Specification Template"
Cohesion: 0.15
Nodes (12): Assumptions, Edge Cases, Feature Specification: [FEATURE NAME], Functional Requirements, Key Entities *(include if feature involves data)*, Measurable Outcomes, Requirements *(mandatory)*, Success Criteria *(mandatory)* (+4 more)
### Community 8 - "Implementation Planning"
Cohesion: 0.18
Nodes (10): Completion Report, Done When, Key rules, Mandatory Post-Execution Hooks, Outline, Phase 0: Outline & Research, Phase 1: Design & Contracts, Phases (+2 more)
### Community 9 - "Feature Specification"
Cohesion: 0.18
Nodes (10): Completion Report, Done When, For AI Generation, Mandatory Post-Execution Hooks, Outline, Pre-Execution Checks, Quick Guidelines, Section Requirements (+2 more)
### Community 10 - "Task Generation"
Cohesion: 0.18
Nodes (10): Checklist Format (REQUIRED), Completion Report, Done When, Mandatory Post-Execution Hooks, Outline, Phase Structure, Pre-Execution Checks, Task Generation Rules (+2 more)
### Community 11 - "Project Constitution"
Cohesion: 0.18
Nodes (10): Core Principles, Governance, [PRINCIPLE_1_NAME], [PRINCIPLE_2_NAME], [PRINCIPLE_3_NAME], [PRINCIPLE_4_NAME], [PRINCIPLE_5_NAME], [PROJECT_NAME] Constitution (+2 more)
### Community 12 - "Constitution Template"
Cohesion: 0.18
Nodes (10): Core Principles, Governance, [PRINCIPLE_1_NAME], [PRINCIPLE_2_NAME], [PRINCIPLE_3_NAME], [PRINCIPLE_4_NAME], [PRINCIPLE_5_NAME], [PROJECT_NAME] Constitution (+2 more)
### Community 13 - "Graphify Exports"
Cohesion: 0.22
Nodes (8): graphify reference: extra exports and benchmark, Step 6b - Wiki (only if --wiki flag), Step 7 - Neo4j export (only if --neo4j or --neo4j-push flag), Step 7a - FalkorDB export (only if --falkordb or --falkordb-push flag), Step 7b - SVG export (only if --svg flag), Step 7c - GraphML export (only if --graphml flag), Step 7d - MCP server (only if --mcp flag), Step 8 - Token reduction benchmark (only if total_words > 5000)
### Community 14 - "Ponytail Configuration"
Cohesion: 0.22
Nodes (8): Boundaries, Intensity, Output, Persistence, Ponytail, Rules, The ladder, When NOT to be lazy
### Community 15 - "Implementation Planning Template"
Cohesion: 0.22
Nodes (8): Complexity Tracking, Constitution Check, Documentation (this feature), Implementation Plan: [FEATURE], Project Structure, Source Code (repository root), Summary, Technical Context
### Community 16 - "Ponytail Help"
Cohesion: 0.25
Nodes (7): Configure Default Mode, Deactivate, Levels, More, Ponytail Help, Skills, Update
### Community 17 - "Checklist Generation"
Cohesion: 0.25
Nodes (7): Anti-Examples: What NOT To Do, Checklist Purpose: "Unit Tests for English", Example Checklist Types & Sample Items, Execution Steps, Post-Execution Checks, Pre-Execution Checks, User Input
### Community 18 - "Clarification Workflow"
Cohesion: 0.29
Nodes (6): Completion Report, Done When, Mandatory Post-Execution Hooks, Outline, Pre-Execution Checks, User Input
### Community 19 - "Implementation Workflow"
Cohesion: 0.29
Nodes (6): Completion Report, Done When, Mandatory Post-Execution Hooks, Outline, Pre-Execution Checks, User Input
### Community 20 - "Graph Query"
Cohesion: 0.33
Nodes (5): For /graphify explain, For /graphify path, graphify reference: query, path, explain, Step 0 — Constrained query expansion (REQUIRED before traversal), Step 1 — Traversal
### Community 21 - "Constitution Workflow"
Cohesion: 0.33
Nodes (5): Outline, Post-Execution Checks, Pre-Execution Checks, Scope Guard, User Input
### Community 23 - "Ponytail Audit"
Cohesion: 0.40
Nodes (4): Boundaries, Hunt, Output, Tags
### Community 24 - "Ponytail Metrics"
Cohesion: 0.40
Nodes (4): Boundaries, Honesty boundary, Ponytail Gain, Scoreboard
### Community 25 - "Ponytail Review"
Cohesion: 0.40
Nodes (4): Boundaries, Examples, Format, Scoring
### Community 26 - "Task Issue Conversion"
Cohesion: 0.40
Nodes (4): Outline, Post-Execution Checks, Pre-Execution Checks, User Input
### Community 27 - "Checklist Template"
Cohesion: 0.40
Nodes (4): [Category 1], [Category 2], [CHECKLIST TYPE] Checklist: [FEATURE NAME], Notes
### Community 28 - "Graphify Watch Mode"
Cohesion: 0.50
Nodes (3): For /graphify add, For --watch, graphify reference: add a URL and watch a folder
### Community 29 - "Graphify Hooks"
Cohesion: 0.50
Nodes (3): For git commit hook, For native CLAUDE.md integration, graphify reference: commit hook and native CLAUDE.md integration
### Community 30 - "Graphify Updates"
Cohesion: 0.50
Nodes (3): For --cluster-only, For --update (incremental re-extraction), graphify reference: incremental update and cluster-only
### Community 31 - "Ponytail Debt"
Cohesion: 0.50
Nodes (3): Boundaries, Output, Scan
### Community 40 - "Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)"
Cohesion: 0.14
Nodes (14): Assumptions, Assumptions & Scope, Clarifications, Explicit Out of Scope (POC), Feature Specification: Multilingual NLP Entity Inherence Classifier (POC), Functional Requirements, Key Entities *(data models & domain entities)*, Measurable Outcomes (+6 more)
### Community 41 - "1. Technical Decisions & Tradeoffs"
Cohesion: 0.22
Nodes (8): 1. Technical Decisions & Tradeoffs, 2. Standardized Error Handling Strategy, Decision 1: Execution Engine & CLI Architecture, Decision 2: Multilingual Language Detection & Normalization (Tier 1 Core), Decision 3: Materialized ECP Snapshot Contract & Matching Logic, Decision 4: Tier 2 (Embeddings) & Tier 3 (LLM) Optional Adapters, Decision 5: Controlled 24-Case POC Benchmark Suite, Technical Research & Architecture Decisions (POC)
### Community 42 - "1. Input Schemas"
Cohesion: 0.25
Nodes (7): 1.1 ECP Snapshot Schema (`snapshot.json`), 1.2 Content Item Schema (`content.md`), 1. Input Schemas, 2.1 Classification Success Result Schema (`result.json`), 2.2 Error Result Schema, 2. Output Schemas, Data Models & Schemas (POC)
### Community 43 - "2. Basic CLI Usage Examples"
Cohesion: 0.25
Nodes (7): 1. Prerequisites & Installation, 2.1 Direct Inherence (Portuguese), 2.2 Contextual Inherence via Graph Snapshot (German), 2.3 Tangential Mention (Spanish), 2. Basic CLI Usage Examples, 3. Running the Controlled 24-Case Benchmark, Quickstart & Validation Guide (POC)
### Community 44 - "2. Standard Streams & Exit Codes"
Cohesion: 0.29
Nodes (6): 1.1 Arguments & Options, 1. Command Line Interface, 2.1 Exit Codes, 2.2 Standard Output (`stdout`) / Standard Error (`stderr`), 2. Standard Streams & Exit Codes, CLI Contract & Interface Specification (POC)
### Community 45 - "ECPSnapshot"
Cohesion: 0.07
Nodes (26): ABC, Any, parametrize, BaseNLPAdapter, Base abstract adapter interface for optional Tier 2 / Tier 3 NLP enhancers., Abstract interface for pluggable NLP classification adapters., Return True if the underlying provider or model is installed and configured., Compute semantic similarity score between text and a set of candidate terms. (+18 more)
### Community 46 - "classifier.py"
Cohesion: 0.09
Nodes (39): emit_error(), Enum, count_phrase_occurrences(), InherenceClassifier, match_phrase_in_text(), Core deterministic classification engine (Tier 1 core)., Check if a normalized phrase appears in normalized text with word boundary…, Count occurrences of a phrase in text. (+31 more)
### Community 47 - "detect_language"
Cohesion: 0.19
Nodes (16): detect_language(), extract_words(), normalize_text(), Lightweight multilingual language detection and text normalization., Normalize text by converting to lowercase and stripping combining diacritical…, Tokenize text into lowercase alphanumeric words., Detect the ISO-639-1 language code of text among supported languages (pt, en,…, Unit tests for language detection and text normalization. (+8 more)
### Community 48 - "main"
Cohesion: 0.31
Nodes (9): main(), parse_args(), Namespace, CLI execution tests covering flags, arguments, stdout, and error handling., test_cli_empty_content_file(), test_cli_missing_ecp_file(), test_cli_missing_required_ecp_field(), test_cli_output_file() (+1 more)
## Knowledge Gaps
- **291 isolated node(s):** `text-nlp-classifier`, `MatchedGraphEntity`, `graphify`, `Usage`, `What graphify is for` (+286 more)
These have ≤1 connection - possible missing edges or undocumented components.
- **37 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
## Suggested Questions
_Questions this graph is uniquely positioned to answer:_
- **Why does `ECPSnapshot` connect `ECPSnapshot` to `main`, `classifier.py`?**
_High betweenness centrality (0.011) - this node is a cross-community bridge._
- **Why does `detect_language()` connect `detect_language` to `classifier.py`?**
_High betweenness centrality (0.007) - this node is a cross-community bridge._
- **Why does `InherenceClassifier` connect `classifier.py` to `main`, `ECPSnapshot`?**
_High betweenness centrality (0.006) - this node is a cross-community bridge._
- **Are the 10 inferred relationships involving `ECPSnapshot` (e.g. with `main()` and `BaseNLPAdapter`) actually correct?**
_`ECPSnapshot` has 10 INFERRED edges - model-reasoned connections that need verification._
- **Are the 6 inferred relationships involving `InherenceClassifier` (e.g. with `LocalEmbeddingsAdapter` and `LLMFallbackAdapter`) actually correct?**
_`InherenceClassifier` has 6 INFERRED edges - model-reasoned connections that need verification._
- **Are the 4 inferred relationships involving `ClassificationResult` (e.g. with `BaseNLPAdapter` and `LocalEmbeddingsAdapter`) actually correct?**
_`ClassificationResult` has 4 INFERRED edges - model-reasoned connections that need verification._
- **Are the 3 inferred relationships involving `LocalEmbeddingsAdapter` (e.g. with `ClassificationResult` and `ECPSnapshot`) actually correct?**
_`LocalEmbeddingsAdapter` has 3 INFERRED edges - model-reasoned connections that need verification._
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