feat: replace google-cloud-aiplatform with google-genai dependency (refs #232)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

.ai/workflow-contract.json

@@ -52,7 +52,8 @@
       "ONE PR for the parent issue. The PR closes the parent and all sub-issues.",
       "Commits reference the specific sub-issue index they implement.",
       "Sub-issues should be small enough to fit in a single AI context window.",
-      "Plan milestones map 1:1 to sub-issues."
+      "Plan milestones map 1:1 to sub-issues.",
+      "Each sub-issue receives its own plan comment with duplicated shared context. An agent must be able to execute from the sub-issue alone."
     ],
     "examples": {
       "parent": "#105 'feat: Add Grafana dashboards and alerting'",
@@ -103,8 +104,9 @@
     "[SKILL] Problem Analysis if complex problem.",
     "[SKILL] Decision Critic if uncertain approach.",
     "If multi-file feature (3+ files): decompose into sub-issues per sub_issues rules. Each sub-issue = one plan milestone.",
-    "[SKILL] Planner writes plan as parent issue comment. Plan milestones map 1:1 to sub-issues.",
+    "[SKILL] Planner writes plan summary as parent issue comment: shared context + milestone index linking each milestone to its sub-issue. M5 (doc-sync) stays on parent if no sub-issue exists.",
-    "[SKILL] Plan review cycle: QR plan-completeness -> TW plan-scrub -> QR plan-code -> QR plan-docs.",
+    "[SKILL] Planner posts each milestone's self-contained implementation plan as a comment on the corresponding sub-issue. Each sub-issue plan duplicates relevant shared context (API maps, state changes, auth, error handling, risk) so an agent can execute from the sub-issue alone without reading the parent.",
+    "[SKILL] Plan review cycle: QR plan-completeness -> TW plan-scrub -> QR plan-code -> QR plan-docs. Distribute milestone-specific review findings to sub-issue plan comments.",
     "Create ONE branch issue-{parent_index}-{slug} from main.",
     "[SKILL] Planner executes plan, delegates to Developer per milestone/sub-issue.",
     "[SKILL] QR post-implementation per milestone (results in parent issue comment).",
@@ -123,7 +125,7 @@
       "execution_review": ["QR post-implementation per milestone"],
       "final_review": ["Quality Agent RULE 0/1/2"]
     },
-    "plan_storage": "gitea_issue_comments",
+    "plan_storage": "gitea_issue_comments: summary on parent issue, milestone detail on sub-issues",
     "tracking_storage": "gitea_issue_comments",
     "issue_comment_operations": {
       "create_comment": "mcp__gitea-mcp__create_issue_comment",

backend/src/features/vehicles/api/vehicles.controller.ts

@@ -406,20 +406,9 @@ export class VehiclesController {
 
       logger.info('VIN decode requested', { userId, vin: sanitizedVin.substring(0, 6) + '...' });
 
-      // Check cache first
-      const cached = await this.vehiclesService.getVinCached(sanitizedVin);
-      if (cached) {
-        logger.info('VIN decode cache hit', { userId });
-        const decodedData = await this.vehiclesService.mapVinDecodeResponse(cached);
-        return reply.code(200).send(decodedData);
-      }
-
       // Call OCR service for VIN decode
       const response = await ocrClient.decodeVin(sanitizedVin);
 
-      // Cache the response
-      await this.vehiclesService.saveVinCache(sanitizedVin, response);
-
       // Map response to decoded vehicle data with dropdown matching
       const decodedData = await this.vehiclesService.mapVinDecodeResponse(response);
 

backend/src/features/vehicles/domain/vehicles.service.ts

@@ -1,6 +1,6 @@
 /**
  * @ai-summary Business logic for vehicles feature
- * @ai-context Handles VIN decoding, caching, and business rules
+ * @ai-context Handles VIN decoding and business rules
  */
 
 import { Pool } from 'pg';
@@ -594,72 +594,6 @@ export class VehiclesService {
     await cacheService.del(cacheKey);
   }
 
-  /**
-   * Check vin_cache for existing VIN data.
-   * Format-aware: validates raw_data has `success` field (Gemini format).
-   * Old NHTSA-format entries are treated as cache misses and expire via TTL.
-   */
-  async getVinCached(vin: string): Promise<VinDecodeResponse | null> {
-    try {
-      const result = await this.pool.query<{
-        raw_data: any;
-        cached_at: Date;
-      }>(
-        `SELECT raw_data, cached_at
-         FROM vin_cache
-         WHERE vin = $1
-         AND cached_at > NOW() - INTERVAL '365 days'`,
-        [vin]
-      );
-
-      if (result.rows.length === 0) {
-        return null;
-      }
-
-      const rawData = result.rows[0].raw_data;
-
-      // Format-aware check: Gemini responses have `success` field,
-      // old NHTSA responses do not. Treat old format as cache miss.
-      if (!rawData || typeof rawData !== 'object' || !('success' in rawData)) {
-        logger.debug('VIN cache format mismatch (legacy NHTSA entry), treating as miss', { vin });
-        return null;
-      }
-
-      logger.debug('VIN cache hit', { vin });
-      return rawData as VinDecodeResponse;
-    } catch (error) {
-      logger.error('Failed to check VIN cache', { vin, error });
-      return null;
-    }
-  }
-
-  /**
-   * Save VIN decode response to cache with ON CONFLICT upsert.
-   */
-  async saveVinCache(vin: string, response: VinDecodeResponse): Promise<void> {
-    try {
-      await this.pool.query(
-        `INSERT INTO vin_cache (vin, make, model, year, engine_type, body_type, raw_data, cached_at)
-         VALUES ($1, $2, $3, $4, $5, $6, $7, NOW())
-         ON CONFLICT (vin) DO UPDATE SET
-           make = EXCLUDED.make,
-           model = EXCLUDED.model,
-           year = EXCLUDED.year,
-           engine_type = EXCLUDED.engine_type,
-           body_type = EXCLUDED.body_type,
-           raw_data = EXCLUDED.raw_data,
-           cached_at = NOW()
-         WHERE (vin_cache.raw_data->>'confidence')::float <= $8`,
-        [vin, response.make, response.model, response.year, response.engine, response.bodyType, JSON.stringify(response), response.confidence ?? 1]
-      );
-
-      logger.debug('VIN cached', { vin, confidence: response.confidence });
-    } catch (error) {
-      logger.error('Failed to cache VIN data', { vin, error });
-      // Don't throw - caching failure shouldn't break the decode flow
-    }
-  }
-  
   async getDropdownMakes(year: number): Promise<string[]> {
     const vehicleDataService = getVehicleDataService();
     const pool = getPool();

backend/src/features/vehicles/domain/vehicles.types.ts

@@ -242,18 +242,6 @@ export interface DecodedVehicleData {
   transmission: MatchedField<string>;
 }
 
-/** Cached VIN data from vin_cache table */
-export interface VinCacheEntry {
-  vin: string;
-  make: string | null;
-  model: string | null;
-  year: number | null;
-  engineType: string | null;
-  bodyType: string | null;
-  rawData: import('../../ocr/domain/ocr.types').VinDecodeResponse;
-  cachedAt: Date;
-}
-
 /** VIN decode request body */
 export interface DecodeVinRequest {
   vin: string;

backend/src/features/vehicles/tests/integration/vehicles.integration.test.ts

@@ -36,15 +36,13 @@ describe('Vehicles Integration Tests', () => {
   afterAll(async () => {
     // Clean up test database
     await pool.query('DROP TABLE IF EXISTS vehicles CASCADE');
-    await pool.query('DROP TABLE IF EXISTS vin_cache CASCADE');
     await pool.query('DROP FUNCTION IF EXISTS update_updated_at_column() CASCADE');
     await pool.end();
   });
 
   beforeEach(async () => {
-    // Clean up test data before each test - more thorough cleanup
+    // Clean up test data before each test
     await pool.query('DELETE FROM vehicles WHERE user_id = $1', ['test-user-123']);
-    await pool.query('DELETE FROM vin_cache WHERE vin LIKE $1', ['1HGBH41JXMN%']);
     
     // Clear Redis cache for the test user
     try {

ocr/app/engines/gemini_engine.py

@@ -9,6 +9,7 @@ import json
 import logging
 import os
 from dataclasses import dataclass
+from datetime import datetime
 from typing import Any
 
 from app.config import settings
@@ -37,12 +38,82 @@ Do not include one-time procedures, troubleshooting steps, or warranty informati
 Return the results as a JSON object with a single "maintenanceSchedule" array.\
 """
 
+# VIN year code lookup: position 10 character -> base year (first cycle, 1980-2009).
+# The 30-year cycle repeats: +30 for 2010-2039, +60 for 2040-2069.
+# Disambiguation uses position 7: numeric -> 2010+ cycle, alphabetic -> 1980s cycle.
+# For the 2040+ cycle (when position 7 is alphabetic again), we pick the most
+# recent plausible year (not more than 2 years in the future).
+_VIN_YEAR_CODES: dict[str, int] = {
+    "A": 1980, "B": 1981, "C": 1982, "D": 1983, "E": 1984,
+    "F": 1985, "G": 1986, "H": 1987, "J": 1988, "K": 1989,
+    "L": 1990, "M": 1991, "N": 1992, "P": 1993, "R": 1994,
+    "S": 1995, "T": 1996, "V": 1997, "W": 1998, "X": 1999,
+    "Y": 2000,
+    "1": 2001, "2": 2002, "3": 2003, "4": 2004, "5": 2005,
+    "6": 2006, "7": 2007, "8": 2008, "9": 2009,
+}
+
+
+def resolve_vin_year(vin: str) -> int | None:
+    """Deterministically resolve model year from VIN positions 7 and 10.
+
+    VIN year codes repeat on a 30-year cycle. Position 7 disambiguates:
+      - Numeric position 7 -> 2010-2039 cycle
+      - Alphabetic position 7 -> 1980-2009 or 2040-2050+ cycle
+
+    For the alphabetic case with three possible cycles, picks the most recent
+    year that is not more than 2 years in the future.
+
+    Returns None if the VIN is too short or position 10 is not a valid year code.
+    """
+    if len(vin) < 17:
+        return None
+
+    code = vin[9].upper()   # position 10 (0-indexed)
+    pos7 = vin[6].upper()   # position 7 (0-indexed)
+
+    base_year = _VIN_YEAR_CODES.get(code)
+    if base_year is None:
+        return None
+
+    if pos7.isdigit():
+        # Numeric position 7 -> second cycle (2010-2039)
+        return base_year + 30
+
+    # Alphabetic position 7 -> first cycle (1980-2009) or third cycle (2040-2069)
+    # Pick the most recent plausible year
+    max_plausible = datetime.now().year + 2
+
+    third_cycle = base_year + 60  # 2040-2069
+    if third_cycle <= max_plausible:
+        return third_cycle
+
+    return base_year
+
+
 _VIN_DECODE_PROMPT = """\
-Given the VIN (Vehicle Identification Number) below, decode it and return the vehicle specifications.
+Decode the following VIN (Vehicle Identification Number) using standard VIN structure rules.
 
 VIN: {vin}
+Model year: {year} (determined from position 10 code '{year_code}')
 
-Return the vehicle's year, make, model, trim level, body type, drive type, fuel type, engine description, and transmission type. If a field cannot be determined from the VIN, return null for that field. Return a confidence score (0.0-1.0) indicating overall decode reliability.\
+The model year has already been resolved deterministically. Use {year} as the year.
+
+VIN position reference:
+- Positions 1-3 (WMI): World Manufacturer Identifier (country + manufacturer)
+- Positions 4-8 (VDS): Vehicle attributes (model, body, engine, etc.)
+- Position 9: Check digit
+- Position 10: Model year code (30-year cycle, extended through 2050):
+  A=1980/2010/2040 B=1981/2011/2041 C=1982/2012/2042 D=1983/2013/2043 E=1984/2014/2044
+  F=1985/2015/2045 G=1986/2016/2046 H=1987/2017/2047 J=1988/2018/2048 K=1989/2019/2049
+  L=1990/2020/2050 M=1991/2021       N=1992/2022       P=1993/2023       R=1994/2024
+  S=1995/2025       T=1996/2026       V=1997/2027       W=1998/2028       X=1999/2029
+  Y=2000/2030       1=2001/2031       2=2002/2032       3=2003/2033       4=2004/2034
+  5=2005/2035       6=2006/2036       7=2007/2037       8=2008/2038       9=2009/2039
+- Position 11: Assembly plant
+- Positions 12-17: Sequential production number
+
+Return the vehicle's make, model, trim level, body type, drive type, fuel type, engine description, and transmission type. If a field cannot be determined from the VIN, return null for that field. Return a confidence score (0.0-1.0) indicating overall decode reliability.\
 """
 
 _VIN_DECODE_SCHEMA: dict[str, Any] = {
@@ -273,6 +344,10 @@ class GeminiEngine:
     def decode_vin(self, vin: str) -> VinDecodeResult:
         """Decode a VIN string into structured vehicle data via Gemini.
 
+        The model year is resolved deterministically from VIN positions 7
+        and 10 -- never delegated to the LLM. Gemini handles make, model,
+        trim, and other fields that require manufacturer knowledge.
+
         Args:
             vin: A 17-character Vehicle Identification Number.
 
@@ -285,6 +360,16 @@ class GeminiEngine:
         """
         model = self._get_model()
 
+        # Resolve year deterministically from VIN structure
+        resolved_year = resolve_vin_year(vin)
+        year_code = vin[9].upper() if len(vin) >= 10 else "?"
+        logger.info(
+            "VIN year resolved: code=%s pos7=%s -> year=%s",
+            year_code,
+            vin[6] if len(vin) >= 7 else "?",
+            resolved_year,
+        )
+
         try:
             from vertexai.generative_models import GenerationConfig  # type: ignore[import-untyped]
 
@@ -293,7 +378,11 @@ class GeminiEngine:
                 response_schema=_VIN_DECODE_SCHEMA,
             )
 
-            prompt = _VIN_DECODE_PROMPT.format(vin=vin)
+            prompt = _VIN_DECODE_PROMPT.format(
+                vin=vin,
+                year=resolved_year or "unknown",
+                year_code=year_code,
+            )
             response = model.generate_content(
                 [prompt],
                 generation_config=vin_config,
@@ -301,10 +390,21 @@ class GeminiEngine:
 
             raw = json.loads(response.text)
 
+            # Override year with deterministic value -- never trust the LLM
+            # for a mechanical lookup
+            gemini_year = raw.get("year")
+            if resolved_year and gemini_year != resolved_year:
+                logger.warning(
+                    "Gemini returned year %s but resolved year is %s for VIN %s -- overriding",
+                    gemini_year,
+                    resolved_year,
+                    vin,
+                )
+
             logger.info("Gemini decoded VIN %s (confidence=%.2f)", vin, raw.get("confidence", 0))
 
             return VinDecodeResult(
-                year=raw.get("year"),
+                year=resolved_year if resolved_year else raw.get("year"),
                 make=raw.get("make"),
                 model=raw.get("model"),
                 trim_level=raw.get("trimLevel"),

ocr/requirements.txt

@@ -21,8 +21,8 @@ google-cloud-vision>=3.7.0
 # PDF Processing
 PyMuPDF>=1.23.0
 
-# Vertex AI / Gemini (maintenance schedule extraction)
+# Google GenAI / Gemini (maintenance schedule extraction, VIN decode)
-google-cloud-aiplatform>=1.40.0
+google-genai>=1.0.0
 
 # Redis for job queue
 redis>=5.0.0

ocr/tests/test_resolve_vin_year.py

@@ -0,0 +1,122 @@
+"""Tests for deterministic VIN year resolution.
+
+Covers: all three 30-year cycles (1980-2009, 2010-2039, 2040-2050),
+position 7 disambiguation, edge cases, and invalid inputs.
+"""
+
+import pytest
+from unittest.mock import patch
+from datetime import datetime
+
+from app.engines.gemini_engine import resolve_vin_year
+
+
+class TestSecondCycle:
+    """Position 7 numeric -> 2010-2039 cycle."""
+
+    def test_p_with_numeric_pos7_returns_2023(self):
+        """P=2023 when position 7 is numeric (the bug that triggered this fix)."""
+        # VIN: 1G1YE2D32P5602473 -- pos7='2' (numeric), pos10='P'
+        assert resolve_vin_year("1G1YE2D32P5602473") == 2023
+
+    def test_a_with_numeric_pos7_returns_2010(self):
+        """A=2010 when position 7 is numeric."""
+        assert resolve_vin_year("1G1YE2112A5602473") == 2010
+
+    def test_l_with_numeric_pos7_returns_2020(self):
+        """L=2020 when position 7 is numeric."""
+        assert resolve_vin_year("1G1YE2112L5602473") == 2020
+
+    def test_9_with_numeric_pos7_returns_2039(self):
+        """9=2039 when position 7 is numeric."""
+        assert resolve_vin_year("1G1YE211295602473") == 2039
+
+    def test_digit_1_with_numeric_pos7_returns_2031(self):
+        """1=2031 when position 7 is numeric."""
+        assert resolve_vin_year("1G1YE211215602473") == 2031
+
+    def test_s_with_numeric_pos7_returns_2025(self):
+        """S=2025 when position 7 is numeric."""
+        assert resolve_vin_year("1G1YE2112S5602473") == 2025
+
+    def test_t_with_numeric_pos7_returns_2026(self):
+        """T=2026 when position 7 is numeric."""
+        assert resolve_vin_year("1G1YE2112T5602473") == 2026
+
+
+class TestFirstCycle:
+    """Position 7 alphabetic -> 1980-2009 cycle (when 2040+ is not yet plausible)."""
+
+    def test_m_with_alpha_pos7_returns_1991(self):
+        """M=1991 when position 7 is alphabetic (third cycle 2051 is not plausible)."""
+        assert resolve_vin_year("1G1YE2J32M5602473") == 1991
+
+    def test_n_with_alpha_pos7_returns_1992(self):
+        """N=1992 when position 7 is alphabetic."""
+        assert resolve_vin_year("1G1YE2J32N5602473") == 1992
+
+    def test_p_with_alpha_pos7_returns_1993(self):
+        """P=1993 when position 7 is alphabetic (third cycle 2053 not plausible)."""
+        assert resolve_vin_year("1G1YE2J32P5602473") == 1993
+
+    def test_y_with_alpha_pos7_returns_2000(self):
+        """Y=2000 when position 7 is alphabetic."""
+        assert resolve_vin_year("1G1YE2J32Y5602473") == 2000
+
+
+class TestThirdCycle:
+    """Position 7 alphabetic + third cycle year (2040-2050) is plausible."""
+
+    @patch("app.engines.gemini_engine.datetime")
+    def test_a_with_alpha_pos7_returns_2040_when_plausible(self, mock_dt):
+        """A=2040 when position 7 is alphabetic and year 2040 is plausible."""
+        mock_dt.now.return_value = datetime(2039, 1, 1)
+        # 2039 + 2 = 2041 >= 2040, so third cycle is plausible
+        assert resolve_vin_year("1G1YE2J32A5602473") == 2040
+
+    @patch("app.engines.gemini_engine.datetime")
+    def test_l_with_alpha_pos7_returns_2050_when_plausible(self, mock_dt):
+        """L=2050 when position 7 is alphabetic and year 2050 is plausible."""
+        mock_dt.now.return_value = datetime(2049, 6, 1)
+        assert resolve_vin_year("1G1YE2J32L5602473") == 2050
+
+    @patch("app.engines.gemini_engine.datetime")
+    def test_a_with_alpha_pos7_returns_1980_when_2040_not_plausible(self, mock_dt):
+        """A=1980 when third cycle year (2040) exceeds max plausible."""
+        mock_dt.now.return_value = datetime(2026, 2, 20)
+        # 2026 + 2 = 2028 < 2040, so third cycle not plausible -> first cycle
+        assert resolve_vin_year("1G1YE2J32A5602473") == 1980
+
+    @patch("app.engines.gemini_engine.datetime")
+    def test_k_with_alpha_pos7_returns_2049_when_plausible(self, mock_dt):
+        """K=2049 when position 7 is alphabetic and year is plausible."""
+        mock_dt.now.return_value = datetime(2048, 1, 1)
+        assert resolve_vin_year("1G1YE2J32K5602473") == 2049
+
+
+class TestEdgeCases:
+    """Invalid inputs and boundary conditions."""
+
+    def test_short_vin_returns_none(self):
+        """VIN shorter than 17 chars returns None."""
+        assert resolve_vin_year("1G1YE2D32") is None
+
+    def test_empty_vin_returns_none(self):
+        """Empty string returns None."""
+        assert resolve_vin_year("") is None
+
+    def test_invalid_year_code_returns_none(self):
+        """Position 10 with invalid code (e.g., 'Z') returns None."""
+        # Z is not a valid year code
+        assert resolve_vin_year("1G1YE2D32Z5602473") is None
+
+    def test_lowercase_vin_handled(self):
+        """Lowercase VIN characters are handled correctly."""
+        assert resolve_vin_year("1g1ye2d32p5602473") == 2023
+
+    def test_i_o_q_not_valid_year_codes(self):
+        """Letters I, O, Q are not valid VIN year codes."""
+        # These are excluded from VINs entirely but test graceful handling
+        assert resolve_vin_year("1G1YE2D32I5602473") is None
+        assert resolve_vin_year("1G1YE2D32O5602473") is None
+        assert resolve_vin_year("1G1YE2D32Q5602473") is None