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Data Model: Article Consolidation and Hygiene Runtime

Feature Branch: 006-article-consolidation-runtime
Date: 2026-08-23
Status: Complete

1. Domain Entities & Relationships

erDiagram
    ArticleInputUnit ||--o{ CandidateObject : extracts
    ArticleInputUnit ||--|| ECPSnapshot : references
    ArticleInputUnit ||--|| StateMachineRecord : tracks
    CandidateObject ||--o{ TextRepairOperation : receives
    StateMachineRecord ||--o| OutputManifest : persists
    StateMachineRecord ||--o| PublishedMarkdown : renders
    StateMachineRecord ||--o{ StateTransitionLog : logs
    StateMachineRecord ||--o{ TelemetryEvent : queues

2. Entity Definitions

2.1 Article Input Unit (article_input)

Represents the incoming single article JSON payload. Rejects explicit batch wrappers via "articles": false. Unknown fields in the input are preserved in the original object without alteration.

Field Type Description Required
selected_extractor enum trafilatura | newspaper4k | readability Yes
crawled_url string (URL) | null Crawled URL No
error_message string | null Upstream error message No
extraction_status string | null Upstream status No
http_status integer | null HTTP response status code No
input_meta object | null Metadata map (url, titulo, subtitulo, quando_publicado) No
page_title string | null Raw HTML page title No
trafilatura object | null Trafilatura extraction output (accepts raw_json as object, string, or null) No
newspaper4k object | null Newspaper4k extraction output No
readability object | null Readability extraction output No
articles false Explicitly forbidden (batch wrapper rejection) No

Note on Validation: The runtime validates that the collective extraction sources provide at least one resolvable source URL, at least one non-empty candidate title, processable text, and usable content in selected_extractor. Total byte size is checked against limits.max_input_bytes before invoking remote providers (failing with INVALID_ARTICLE_SCHEMA if exceeded).

2.2 Entity Context Profile Snapshot (ecp_snapshot)

Represents the complete, integral ECP Snapshot received by the runtime. The runtime validates the payload locally against the monorepo's canonical ECP schema (src/adapters/ecp/schemas/ecp-profile.schema.json) registered in referencing.Registry matching $ref: "https://schemas.aftech.internal/ecp/v1/ecp-profile.schema.json" without HTTP lookups. It extracts identity and version metadata (qid, canonical_name, version) for manifest and trace recording.

Field Type Description Required
(opaque payload) object Complete canonical ECP snapshot validated via referencing.Registry Yes
qid string Extracted canonical Wikidata / Entity QID (e.g. Q148) Extracted
canonical_name string Extracted entity canonical name Extracted
version string Extracted semantic version of the referenced ECP profile Extracted

2.3 Candidate Object (candidate_object)

Single structural element extracted from the article payloads. Preserves all candidates without destructive deduplication.

Field Type Description Required
candidate_id string Opaque unique ID (e.g. cand_blk_001, cand_title_001) Yes
type enum title | subtitle | author | date | paragraph | heading | list_item | quote | link | image Yes
extractor_source enum trafilatura | newspaper4k | readability | input_meta | page_title Yes
source_field string Origin field (e.g. text, article_html, title) Yes
original_text_or_url string Exact original text or URL content Yes
structural_representation string Markdown/HTML/AST structural snippet Yes
order_index integer Position index in extractor backbone Yes
parent_candidate_id string | null ID of parent element (for nested list items, blockquotes, etc.) No
equivalences array[string] List of candidate IDs representing equivalent content from other extractors Yes
content_hash string (64-char hex) Deterministic content hash Yes
structural_flags object Purely structural flags (e.g. {"heading_level": 2}) Yes

Note on Projection: The LLM prompt receives CandidatesPayload, which is a clean, normalized projection of these internal CandidateObject instances.

2.4 Text Repair Operation (text_repair)

Micro-repair proposed by the LLM and validated by the harness.

Field Type Description Required
target_candidate_id string ID of the target block or metadata candidate Yes
original_fragment string Exact substring in candidate to replace Yes
replacement_fragment string Validated replacement text Yes
category enum encoding | unicode | spacing | punctuation_corruption | obvious_typo Yes
rationale string Short explanation Yes
is_accepted boolean Validation outcome from harness Yes
rejection_reason string | null Code if rejected (SENSITIVE_ENTITY, AMBIGUOUS_TARGET, OUT_OF_CATEGORY, etc.) No

2.5 State Machine Record (state_record)

SQLite table article_states storing runtime execution status.

Column SQLite Type Description
fingerprint TEXT (PK, 64-char hex) Deterministic content hash of the execution
source_url TEXT Resolved source URL
selected_extractor TEXT Extractor used as backbone
current_state TEXT received | validated | content_cleaned | ecp_approved | ecp_rejected | enriched | completed_text | failed
final_status TEXT completed_text | rejected_ecp | failed_validation | failed_processing | NULL
generate_markdown INTEGER 1 if Markdown generated, 0 otherwise
markdown_path TEXT Path to generated .md file (or NULL)
manifest_path TEXT Path to generated .result.json file
markdown_hash TEXT (64-char hex) Content hash of generated .md file (or NULL)
manifest_hash TEXT (64-char hex) Content hash of generated .result.json file
ecp_category TEXT DIRECT_INHERENT | CONTEXTUAL_INHERENT | TANGENTIAL | NOT_RELATED | NULL
ecp_confidence REAL Confidence score (0.0 to 1.0)
functional_versions_json TEXT (JSON) Consolidated versions of contracts, ECP reference, config, prompts, and models
trace_id TEXT Langfuse trace identifier
terminal_error_code TEXT Normative error code if failed
error_metadata_json TEXT (JSON) Sanitized minimal error metadata (stack trace in technical log only)
created_at TEXT (ISO 8601) Timestamp of ingestion
updated_at TEXT (ISO 8601) Timestamp of last transition

2.6 State Transition Log (state_transitions)

SQLite table state_transitions tracking execution lifecycle.

Column SQLite Type Description
id INTEGER (PK AUTO) Unique transition ID
fingerprint TEXT (FK) Reference to article_states.fingerprint
from_state TEXT Starting state
to_state TEXT Destination state
start_time TEXT (ISO 8601) Transition start timestamp
end_time TEXT (ISO 8601) Transition end timestamp
duration_ms REAL Elapsed milliseconds
result TEXT success | failure | skipped
metadata_json TEXT (JSON) Transition context metadata

2.7 Telemetry Event (pending_telemetry)

SQLite table pending_telemetry for resilient deferred delivery to Langfuse when the network/service is unreachable.

Column SQLite Type Description
event_id TEXT (PK) UUID / Unique event ID
fingerprint TEXT Associated article fingerprint
trace_id TEXT Associated trace ID
event_type TEXT span | generation | score
payload_json TEXT (JSON) Sanitized telemetry event payload
created_at TEXT (ISO 8601) Creation timestamp
retry_count INTEGER Number of transmission attempts
last_error TEXT Last error message

2.8 Release Metadata Contract (src/core/release-metadata.json)

Immutable packaged artifact recording certified configurations for preflight verification. runtime_config_sha256 is strictly calculated as the exact file byte SHA-256 hash (hashlib.sha256(Path(config_path).read_bytes()).hexdigest()).

{
  "release_version": "1.0.0",
  "runtime_config_sha256": "06a2769f7aa3a15a1e61880f171ecebc0d29094ab2499616243e59c0aecf340f",
  "prompts_hashes": {
    "article_content_hygiene": "f8a9c2b1d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0",
    "article_sentiment_tags": "d4e1b7a2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0"
  },
  "schemas_versions": {
    "article_input": "1.0.0",
    "ecp_snapshot": "1.0.0",
    "runtime_config": "1.0.0",
    "candidates_payload": "1.0.0",
    "hygiene_response": "1.0.0",
    "repair_operations": "1.0.0",
    "enrichment_response": "1.0.0",
    "manifest_output": "1.0.0"
  },
  "certified_models": {
    "runtime_primary": { "provider": "groq", "model": "openai/gpt-oss-20b", "role_config_version": "1.0.0" },
    "runtime_fallback": { "provider": "deepseek", "model": "deepseek-v4-flash", "role_config_version": "1.0.0" }
  },
  "ecp_classifier_config_hash": "a1b2c3d4e5f67890a1b2c3d4e5f67890a1b2c3d4e5f67890a1b2c3d4e5f67890"
}

2.9 Output Manifest (<fingerprint>.result.json)

Structure of the machine-readable output manifest complying with manifest-output.schema.json.

{
  "schema_version": "1.0.0",
  "fingerprint": "a1b2c3d4e5f67890a1b2c3d4e5f67890a1b2c3d4e5f67890a1b2c3d4e5f67890",
  "source_url": "https://example.com/noticia-123",
  "selected_extractor": "trafilatura",
  "final_status": "completed_text",
  "generate_markdown": true,
  "markdown_path": "out/a1b2c3d4e5f67890a1b2c3d4e5f67890a1b2c3d4e5f67890a1b2c3d4e5f67890.md",
  "markdown_hash": "06a2769f7aa3a15a1e61880f171ecebc0d29094ab2499616243e59c0aecf340f",
  "ecp_classification": {
    "category": "DIRECT_INHERENT",
    "confidence": 0.95,
    "rationale": "Article directly analyzes the economic policy of the entity.",
    "evidences": ["trecho textual fundamentado 1", "trecho textual fundamentado 2"]
  },
  "enrichment": {
    "sentiment": "positive",
    "tags": ["Economia", "Política Monetária", "Inflação"]
  },
  "provider_versions": {
    "hygiene": { "provider": "groq", "model": "openai/gpt-oss-20b", "role_config_version": "1.0.0" },
    "enrichment": { "provider": "groq", "model": "openai/gpt-oss-20b", "role_config_version": "1.0.0" }
  },
  "model_versions": {
    "runtime_primary": { "provider": "groq", "model": "openai/gpt-oss-20b", "role_config_version": "1.0.0" },
    "runtime_fallback": { "provider": "deepseek", "model": "deepseek-v4-flash", "role_config_version": "1.0.0" }
  },
  "prompt_versions": {
    "article_content_hygiene": { "version": "1.0.0", "hash": "f8a9c2b1d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0" },
    "article_sentiment_tags": { "version": "1.0.0", "hash": "d4e1b7a2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0" }
  },
  "config_version": "1.0.0",
  "trace_id": "trace_run_20260823_001",
  "error_codes": []
}

2.10 Published Markdown (<fingerprint>.md)

Format of the rendered Markdown document with YAML front matter.

---
title: "Título Principal do Artigo Publicado"
subtitle: "Subtítulo editorial detalhado"
author: "Nome do Autor"
published_at: "2026-08-23T14:00:00Z"
source_url: "https://example.com/noticia-123"
sentiment: positive
tags:
  - Economia
  - Política Monetária
  - Inflação
ecp_qid: "Q148"
ecp_canonical_name: "Entidade Alvo"
ecp_category: DIRECT_INHERENT
ecp_confidence: 0.95
---

# Título Principal do Artigo Publicado

*Subtítulo editorial detalhado*

Primeiro parágrafo do artigo com [link grounded](https://example.com/referencia) e texto limpo.

## Intertítulo Editorial

Segundo parágrafo contendo citação textual sem alterações indevidas.

![Legenda da imagem grounded](https://example.com/imagem.jpg)

Parágrafo de encerramento sem notas de rodapé publicitárias ou chamadas de redes sociais.
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