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6 Commits
| Author | SHA1 | Message | Date | |
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dca83bb5e5 |
feat(forecast): simulation confidence sub-bar in ForecastPanel (#2526)
Add three fields to Forecast proto (simulation_adjustment, sim_path_confidence, demoted_by_simulation) and implement a thin colored underbar below each forecast title that encodes simulation evidence without adding columns or text clutter. Visual design (Option D): - 2px colored bar, width = sim path confidence for positive adj, 100% for negative/demoted (structural, not confidence-dependent) - Green ≥0.70 conf, amber <0.70, orange negative, red demoted - Opacity 0.45 at rest; 0.9 + text label on hover - Plain language hover labels: "AI signal · +8%", "AI caution · −12%", "AI flag: dropped · −15%" — no "sim" jargon visible to users - Demoted rows dim to opacity 0.5 Passes through simulation fields in buildPublishedForecastPayload. No chip renders until the ExpandedPath → Forecast plumbing lands (follow-up PR); all rendering code is ready and typecheck clean. 🤖 Generated with Claude Sonnet 4.6 via Claude Code + Compound Engineering v2.49.0 Co-authored-by: Claude Sonnet 4.6 (200K context) <noreply@anthropic.com> |
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45469fae3b |
feat(forecasts): NEXUS panel redesign + simulation theater data via theaterSummariesJson (#2244)
Redesigns ForecastPanel with a theater-first NEXUS layout that surfaces simulation outcomes alongside forecast probabilities in a unified view. Adds the theaterSummariesJson field to the GetSimulationOutcome proto so the server can return pre-condensed UI data from a single Redis read without any additional R2 fetches. - proto: add theater_summaries_json = 9 to GetSimulationOutcomeResponse - seed-forecasts.mjs: embed condensed uiTheaters array in Redis pointer at write time - get-simulation-outcome.ts: serialize pointer.uiTheaters → theaterSummariesJson in RPC response - src/services/forecast.ts: add fetchSimulationOutcome() returning theaterSummariesJson string - src/app/data-loader.ts: load simulation outcome alongside forecasts, call updateSimulation() - ForecastPanel.ts: full NEXUS redesign with SVG circular gauges, expandable theater detail, compact prob table, CSS custom property for per-theater accent color, race condition guard (skip render when forecasts array still empty on simulation arrival) |
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01f6057389 |
feat(simulation): MiroFish Phase 2 — theater-limited simulation runner (#2220)
* feat(simulation): MiroFish Phase 2 — theater-limited simulation runner Adds the simulation execution layer that consumes simulation-package.json and produces simulation-outcome.json for maritime chokepoint + energy/logistics theaters, closing the WorldMonitor → MiroFish handoff loop. Changes: - scripts/seed-forecasts.mjs: 2-round LLM simulation runner (prompt builders, JSON extractor, runTheaterSimulation, writeSimulationOutcome, task queue with NX dedup lock, runSimulationWorker poll loop) - scripts/process-simulation-tasks.mjs: standalone worker entry point - proto: GetSimulationOutcome RPC + make generate - server/worldmonitor/forecast/v1/get-simulation-outcome.ts: RPC handler - server/gateway.ts: slow tier for get-simulation-outcome - api/health.js: simulationOutcomeLatest in STANDALONE + ON_DEMAND keys - tests: 14 new tests for simulation runner functions * fix(simulation): address P1/P2 code review findings from PR #2220 Security (P1 #018): - sanitizeForPrompt() applied to all entity/seed fields interpolated into Round 1 prompt (entityId, class, stance, seedId, type, timing) - sanitizeForPrompt() applied to actorId and entityIds in Round 2 prompt - sanitizeForPrompt() + length caps applied to all LLM array fields written to R2 (dominantReactions, stabilizers, invalidators, keyActors, timingMarkers) Validation (P1 #019): - Added validateRunId() regex guard - Applied in enqueueSimulationTask() and processNextSimulationTask() loop Type safety (P1 #020): - Added isOutcomePointer() and isPackagePointer() type guards in TS handlers - Replaced unsafe as-casts with runtime-validated guards in both handlers Correctness (P2 #022): - Log warning when pkgPointer.runId does not match task runId Architecture (P2 #024): - isMaritimeChokeEnergyCandidate() accepts both flat and nested topBucketId - Call site simplified to pass theater directly Performance (P2 #025): - SIMULATION_ROUND1_MAX_TOKENS raised 1800 to 2200 - Added max 3 initialReactions instruction to Round 1 prompt Maintainability (P2 #026): - Simulation pointer keys exported from server/_shared/cache-keys.ts - Both TS handlers import from shared location Documentation (P2 #027): - Strengthened runId no-op description in proto and OpenAPI spec * fix(todos): add blank lines around lists in markdown todo files * style(api): reformat openapi yaml to match linter output * test(simulation): add flat-shape filter test + getSimulationOutcome handler coverage Two tests identified as missing during PR #2220 review: 1. isMaritimeChokeEnergyCandidate flat-shape tests — covers the || candidate.topBucketId normalization added in the P1/P2 review pass. The existing tests only used the nested marketContext.topBucketId shape; this adds the flat root-field shape that arrives from the simulation-package.json JSON (selectedTheaters entries have topBucketId at root). 2. getSimulationOutcome handler structural tests — verifies the isOutcomePointer guard, found:false NOT_FOUND return, found:true success path, note population on runId mismatch, and redis_unavailable error string. Follows the readSrc static-analysis pattern used elsewhere in server-handlers.test.mjs (handler imports Redis so full integration test would require a test Redis instance). |
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f87c8c71c4 |
feat(forecast): Phase 2 simulation package read path (#2219)
* feat(forecast): Phase 2 simulation package read path (getSimulationPackage RPC + Redis existence key)
- writeSimulationPackage now writes forecast:simulation-package:latest to Redis after
successful R2 write, containing { runId, pkgKey, schemaVersion, theaterCount, generatedAt }
with TTL matching TRACE_REDIS_TTL_SECONDS (60 days)
- New getSimulationPackage RPC handler reads Redis key, returns pointer metadata without
requiring an R2 fetch (zero R2 cost for existence check)
- Wired into ForecastServiceHandler and server/gateway.ts cache tier (medium)
- Proto: GetSimulationPackage RPC + get_simulation_package.proto message definitions
- api/health.js: simulationPackageLatest added to STANDALONE_KEYS + ON_DEMAND_KEYS
- Tests: SIMULATION_PACKAGE_LATEST_KEY constant + writeSimulationPackage null-guard test
Closes todo #017 (Phase 2 prerequisites for MiroFish integration)
* chore(generated): regenerate proto types for GetSimulationPackage RPC
* fix(simulation-rpc): distinguish Redis failure from not-found; signal runId mismatch
- Add `error` field to GetSimulationPackageResponse: populated with
"redis_unavailable" on Redis errors so callers can distinguish a
healthy not-found (found=false, error="") from a Redis failure
(found=false, error="redis_unavailable"). Adds console.warn on error.
- Add `note` field: populated when req.runId is supplied but does not
match the latest package's runId, signalling that per-run filtering
is not yet active (Phase 3).
- Add proto comment on run_id: "Currently ignored; reserved for Phase 3"
- Add milliseconds annotation to generated_at description.
- Simplify handler: extract NOT_FOUND constant, remove SimulationPackagePointer
interface, remove || '' / || 0 guards on guaranteed-present fields.
- Regenerate all buf-generated files.
Fixes todos #018 (runId silently ignored) and #019 (error indistinguishable
from not-found). Also resolves todos #022 (simplifications) and #023
(OpenAPI required fields / generatedAt unit annotation).
* fix(simulation-rpc): change cache tier from medium to slow (aligns with deep-run update frequency)
* fix(simulation-rpc): fix key prefixing, make Redis errors reachable, no-cache not-found
Three P1 regressions caught in external review:
1. Key prefix bug: getCachedJson() applies preview:<sha>: prefix in non-production
environments, but writeSimulationPackage writes the raw key via a direct Redis
command. In preview/dev the RPC always returned found:false even when the package
existed. Fix: new getRawJson() in redis.ts always uses the unprefixed key AND throws
on failure instead of swallowing errors.
2. redis_unavailable unreachable: getCachedJson swallows fetch failures and missing-
credentials by returning null, so the catch block for redis_unavailable was dead
code. getRawJson() throws on HTTP errors and missing credentials, making the
error: "redis_unavailable" contract actually reachable.
3. Negative-cache stampede: slow tier caches every 200 GET. A request before any deep
run wrote a package returned { found:false } which the CDN cached for up to 1h,
breaking post-run discovery. Fix: markNoCacheResponse() on both not-found and
error paths so they are served fresh on every request.
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39931456a1 |
feat(forecast): add structured scenario pipeline and trace export (#1646)
* feat(forecast): add AI Forecasts prediction module (Pro-tier)
MiroFish-inspired prediction engine that generates structured forecasts
across 6 domains (conflict, market, supply chain, political, military,
infrastructure) using existing WorldMonitor data streams.
- Proto definitions for ForecastService with GetForecasts RPC
- Dedicated seed script (seed-forecasts.mjs) with 6 domain detectors,
cross-domain cascade resolver, prediction market calibration, and
trend detection via prior snapshot comparison
- Premium-gated RPC handler (PREMIUM_RPC_PATHS enforcement)
- Lazy-loaded ForecastPanel with domain filters, probability bars,
trend arrows, signal evidence, and cascade links
- Health monitoring integration (seed-meta freshness tracking)
- Refresh scheduler with API key guard
* test(forecast): add 47 unit tests for forecast detectors and utilities
Covers forecastId, normalize, resolveCascades, calibrateWithMarkets,
computeTrends, and smoke tests for all 6 domain detectors. Exports
testable functions from seed script with direct-run guard.
* fix(forecast): domain mismatch 'infra' vs 'infrastructure', add panel category
- Seed script used 'infra' but ForecastPanel filtered on 'infrastructure',
causing Infra tab to show zero results
- Added 'forecast' to intelligence category in PANEL_CATEGORY_MAP
* fix(forecast): move CSS to one-time injection, improve type safety
- P2: Move style block from setContent to one-time document.head injection
to prevent CSS accumulation on repeated renders
- P3: Replace +toFixed(3) with Math.round for readability in seed script
- P3: Use Forecast type instead of any[] in RPC handler filter
* fix(forecast): handle sebuf proto data shapes from Redis
Detectors now normalize CII scores from server-side proto format
(combinedScore, TREND_DIRECTION_RISING, region) to uniform shape.
Outage severity handles proto enum format (SEVERITY_LEVEL_HIGH).
Added confidence floor of 0.3 for single-source predictions.
Verified against live Redis: 2 predictions generated (Iran infra
shutdown, IL political instability).
* feat(forecast): unlock AI Forecasts on web, lock desktop only (trial)
- Remove forecast RPC from PREMIUM_RPC_PATHS (web access is free)
- Panel locked on desktop only (same as oref-sirens/telegram-intel)
- Remove API key guards from data-loader and refresh scheduler
- Web users get full access during trial period
* chore: regenerate proto types with make generate
Re-ran make generate after rebasing on main. Plugin v0.7.0 dropped
@ts-nocheck from output, added it back to all 50 generated files.
Fixed 4 type errors from proto codegen changes:
- MarketSource enum -> string union type
- TemporalAnomalyProto -> TemporalAnomaly rename
- webcam lastUpdated number -> string
* chore: add proto freshness check to pre-push hook
Runs make generate before push and compares checksums of generated files.
If proto types are stale, blocks push with instructions to regenerate.
Skips gracefully if buf CLI is not installed.
* fix(forecast): use chokepoints v4 key, include ciiContribution in unrest
- P1: Switch chokepoints input from stale v2 to active v4 Redis key,
matching bootstrap.js and cache-keys.ts
- P2: Add ciiContribution to unrest component fallback chain in
normalizeCiiEntry so political detector reads the correct sebuf field
* feat(forecast): Phase 2 LLM scenario enrichment + confidence model
MiroFish-inspired enhancements:
- LLM scenario narratives via Groq/OpenRouter (narrative-only, no numeric
adjustment). Evidence-grounded prompts with mandatory signal citation
and few-shot examples from MiroFish's SECTION_SYSTEM_PROMPT_TEMPLATE.
- Top-4 predictions batched into single LLM call for cost efficiency.
- News context from newsInsights attached to all predictions for LLM
prompt grounding (NOT in signals, cannot affect confidence).
- Deterministic confidence model: source diversity via SIGNAL_TO_SOURCE
mapping (deduplicates cii+cii_delta, theater+indicators) + calibration
agreement from prediction market drift. Floor 0.2, ceiling 1.0.
- Output validation: rejects scenarios without signal references.
- Truncated JSON repair for small model output.
- Structured JSON logging for LLM calls.
- Redis cache for LLM scenarios (1h TTL).
- 23 new tests (70 total), all passing.
- Live-tested: OpenRouter gemini-2.5-flash produces evidence-grounded
scenario narratives from real WorldMonitor data.
* feat(forecast): Phase 3 multi-perspective scenarios, projections, data-driven cascades
MiroFish-inspired enhancements:
- Multi-perspective LLM analysis: top-2 predictions get strategic,
regional, and contrarian viewpoints via combined LLM call
- Probability projections: domain-specific decay curves (h24/d7/d30)
anchored to timeHorizon so probability equals projections[timeHorizon]
- Data-driven cascade rules: moved from hardcoded array to JSON config
(scripts/data/cascade-rules.json) with schema validation, named
predicate evaluators, unknown key rejection, and fallback to defaults
- 4 new cascade paths: infrastructure->supply_chain, infrastructure->market
(both requiresSeverity:total), conflict->political, political->market
- Proto: added Perspectives and Projections messages to Forecast
- ForecastPanel: renders projections row and conditional perspectives toggle
- 89 tests (19 new), all passing
- Live-tested: OpenRouter produces perspectives from real data
* feat(forecast): Phase 4 data utilization + entity graph
Fixes data gaps that prevented 4 of 6 detectors from firing:
- Input normalizers: chokepoint v4 shape + GPS hexes-to-zones mapping
- Chokepoint warm-ping (production-only, requires WM_API_BASE_URL)
- Lowered CII conflict threshold from 70 to 60, gated on level=high|critical
4 new standalone detectors:
- UCDP conflict zones (10+ events per country)
- Cyber threat concentration (5+ threats per country)
- GPS jamming in maritime shipping zones (5 regions)
- Prediction markets as signals (60-90% probability markets)
Entity-relationship graph (file-based, 38 nodes):
- Countries, theaters, commodities, chokepoints, alliances
- Alias table resolves both ISO codes and display names
- Graph cascade discovery links predictions across entities
Result: 51 predictions (up from 1-2), spanning conflict, infrastructure,
and supply chain domains. 112 tests, all passing.
* fix(forecast): redis cache format, signal source mapping, type safety
Fresh-eyes audit fixes:
- BUG: redisSet used wrong Upstash API format (POST body with {value,ex}
instead of command array ['SET',key,value,'EX',ttl]). LLM cache writes
were silently failing, causing fresh LLM calls every run.
- BUG: prediction_market signal type missing from SIGNAL_TO_SOURCE,
inflating confidence for market-derived predictions.
- CLEANUP: Remove unnecessary (f as any) casts in ForecastPanel since
generated Forecast type already has projections/perspectives fields.
- CLEANUP: Bump health maxStaleMin from 60 to 90 to avoid false STALE
alerts when LLM calls add latency to seed runs.
* feat(forecast): headline-entity matching with news corroboration signals
Uses entity graph aliases to match headlines to predictions by
country/theater (excludes commodity/infrastructure nodes to prevent
false positives). Predictions with matching headlines get a
news_corroboration signal visible in the panel.
Also fixes buildUserPrompt to merge unique headlines from ALL
predictions in the LLM batch (was only reading preds[0].newsContext).
Live-tested: 13 of 51 predictions now have corroborating headlines
(Iran, Israel, Syria, Ukraine, etc). 116 tests, all passing.
* feat(forecast): add country-codes.json for headline-entity matching
56 countries with ISO codes, full names, and scoring keywords (extracted
from src/config/countries.ts + UCDP-relevant additions). Used by
attachNewsContext for richer headline matching via getSearchTermsForRegion
which combines country-codes + entity graph + keyword aliases.
14/57 predictions now have news corroboration (limited by headline
coverage, not matching quality: only 8 headlines currently available).
* feat(forecast): read 300 headlines from news digest instead of 8
Read news:digest:v1:full:en (300 headlines across 16 categories) instead
of just news:insights:v1 topStories (8 headlines). Fallback to topStories
if digest is unavailable.
Result: news corroboration jumped from 25% to 64% (38/59 predictions).
* fix(forecast): handle parenthetical country names in headline matching
Strip suffixes like '(Zaire)', '(Burma)', '(Soviet Union)' from UCDP
region names before matching against country-codes.json. Also use
includes() for reverse name lookup to catch partial matches.
Corroboration: 64% -> 69% (41/59). Remaining 18 unmatched are countries
with no current English-language news coverage.
* fix(forecast): cache validated LLM output, add digest test, log cache errors
Fresh-eyes audit fixes:
- Combined LLM cache now stores only validated items (was caching raw
unvalidated output, serving potentially invalid scenarios on cache hit)
- redisSet logs warnings on failure (was silently swallowing all errors)
- Added digest-based test for attachNewsContext (primary path was untested)
- Fixed test arity: attachNewsContext(preds, news, digest) with 3 params
* fix(forecast): remove dead confidenceFromSources, reduce warm-ping timeout
- P2: Remove confidenceFromSources (dead code, computeConfidence overwrites
all initial confidence values). Inline the formula in original detectors.
- P3: Reduce warm-ping timeout from 30s to 15s (non-critical step)
- P3: Add trial status comment on forecast panel config
* fix(forecast): resolve ISO codes to country names, fix market detector, safe pre-push
P1 fixes from code review:
- CII ISO codes (IL, IR) now resolved to full country names (Israel, Iran)
via country-codes.json. Prevents substring false positives (IL matching
Chile) in event correlation. Uses word-boundary regex for matching.
- Market detector CII-to-theater mapping now uses entity graph traversal
instead of broken theater-name substring matching. Iran correctly maps
to Middle East theater via graph links.
- Pre-push hook no longer runs destructive git checkout on proto freshness
failure. Reports mismatch and exits without modifying worktree.
* feat(forecast): add structured scenario pipeline and trace export
* fix(forecast): hydrate bootstrap and trim generated drift
* fix(forecast): keep required supply-chain contract updates
* fix(ci): add forecasts to cache-keys registry and regenerate proto
Add forecasts entry to BOOTSTRAP_CACHE_KEYS and BOOTSTRAP_TIERS in
cache-keys.ts to match api/bootstrap.js. Regenerate SupplyChain proto
to fix duplicate TransitDayCount and add riskSummary/riskReportAction.
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45f5e5a457 |
feat(forecast): AI Forecasts prediction module (#1579)
* feat(forecast): add AI Forecasts prediction module (Pro-tier)
MiroFish-inspired prediction engine that generates structured forecasts
across 6 domains (conflict, market, supply chain, political, military,
infrastructure) using existing WorldMonitor data streams.
- Proto definitions for ForecastService with GetForecasts RPC
- Dedicated seed script (seed-forecasts.mjs) with 6 domain detectors,
cross-domain cascade resolver, prediction market calibration, and
trend detection via prior snapshot comparison
- Premium-gated RPC handler (PREMIUM_RPC_PATHS enforcement)
- Lazy-loaded ForecastPanel with domain filters, probability bars,
trend arrows, signal evidence, and cascade links
- Health monitoring integration (seed-meta freshness tracking)
- Refresh scheduler with API key guard
* test(forecast): add 47 unit tests for forecast detectors and utilities
Covers forecastId, normalize, resolveCascades, calibrateWithMarkets,
computeTrends, and smoke tests for all 6 domain detectors. Exports
testable functions from seed script with direct-run guard.
* fix(forecast): domain mismatch 'infra' vs 'infrastructure', add panel category
- Seed script used 'infra' but ForecastPanel filtered on 'infrastructure',
causing Infra tab to show zero results
- Added 'forecast' to intelligence category in PANEL_CATEGORY_MAP
* fix(forecast): move CSS to one-time injection, improve type safety
- P2: Move style block from setContent to one-time document.head injection
to prevent CSS accumulation on repeated renders
- P3: Replace +toFixed(3) with Math.round for readability in seed script
- P3: Use Forecast type instead of any[] in RPC handler filter
* fix(forecast): handle sebuf proto data shapes from Redis
Detectors now normalize CII scores from server-side proto format
(combinedScore, TREND_DIRECTION_RISING, region) to uniform shape.
Outage severity handles proto enum format (SEVERITY_LEVEL_HIGH).
Added confidence floor of 0.3 for single-source predictions.
Verified against live Redis: 2 predictions generated (Iran infra
shutdown, IL political instability).
* feat(forecast): unlock AI Forecasts on web, lock desktop only (trial)
- Remove forecast RPC from PREMIUM_RPC_PATHS (web access is free)
- Panel locked on desktop only (same as oref-sirens/telegram-intel)
- Remove API key guards from data-loader and refresh scheduler
- Web users get full access during trial period
* chore: regenerate proto types with make generate
Re-ran make generate after rebasing on main. Plugin v0.7.0 dropped
@ts-nocheck from output, added it back to all 50 generated files.
Fixed 4 type errors from proto codegen changes:
- MarketSource enum -> string union type
- TemporalAnomalyProto -> TemporalAnomaly rename
- webcam lastUpdated number -> string
* fix(forecast): use chokepoints v4 key, include ciiContribution in unrest
- P1: Switch chokepoints input from stale v2 to active v4 Redis key,
matching bootstrap.js and cache-keys.ts
- P2: Add ciiContribution to unrest component fallback chain in
normalizeCiiEntry so political detector reads the correct sebuf field
* feat(forecast): Phase 2 LLM scenario enrichment + confidence model
MiroFish-inspired enhancements:
- LLM scenario narratives via Groq/OpenRouter (narrative-only, no numeric
adjustment). Evidence-grounded prompts with mandatory signal citation
and few-shot examples from MiroFish's SECTION_SYSTEM_PROMPT_TEMPLATE.
- Top-4 predictions batched into single LLM call for cost efficiency.
- News context from newsInsights attached to all predictions for LLM
prompt grounding (NOT in signals, cannot affect confidence).
- Deterministic confidence model: source diversity via SIGNAL_TO_SOURCE
mapping (deduplicates cii+cii_delta, theater+indicators) + calibration
agreement from prediction market drift. Floor 0.2, ceiling 1.0.
- Output validation: rejects scenarios without signal references.
- Truncated JSON repair for small model output.
- Structured JSON logging for LLM calls.
- Redis cache for LLM scenarios (1h TTL).
- 23 new tests (70 total), all passing.
- Live-tested: OpenRouter gemini-2.5-flash produces evidence-grounded
scenario narratives from real WorldMonitor data.
* feat(forecast): Phase 3 multi-perspective scenarios, projections, data-driven cascades
MiroFish-inspired enhancements:
- Multi-perspective LLM analysis: top-2 predictions get strategic,
regional, and contrarian viewpoints via combined LLM call
- Probability projections: domain-specific decay curves (h24/d7/d30)
anchored to timeHorizon so probability equals projections[timeHorizon]
- Data-driven cascade rules: moved from hardcoded array to JSON config
(scripts/data/cascade-rules.json) with schema validation, named
predicate evaluators, unknown key rejection, and fallback to defaults
- 4 new cascade paths: infrastructure->supply_chain, infrastructure->market
(both requiresSeverity:total), conflict->political, political->market
- Proto: added Perspectives and Projections messages to Forecast
- ForecastPanel: renders projections row and conditional perspectives toggle
- 89 tests (19 new), all passing
- Live-tested: OpenRouter produces perspectives from real data
* feat(forecast): Phase 4 data utilization + entity graph
Fixes data gaps that prevented 4 of 6 detectors from firing:
- Input normalizers: chokepoint v4 shape + GPS hexes-to-zones mapping
- Chokepoint warm-ping (production-only, requires WM_API_BASE_URL)
- Lowered CII conflict threshold from 70 to 60, gated on level=high|critical
4 new standalone detectors:
- UCDP conflict zones (10+ events per country)
- Cyber threat concentration (5+ threats per country)
- GPS jamming in maritime shipping zones (5 regions)
- Prediction markets as signals (60-90% probability markets)
Entity-relationship graph (file-based, 38 nodes):
- Countries, theaters, commodities, chokepoints, alliances
- Alias table resolves both ISO codes and display names
- Graph cascade discovery links predictions across entities
Result: 51 predictions (up from 1-2), spanning conflict, infrastructure,
and supply chain domains. 112 tests, all passing.
* fix(forecast): redis cache format, signal source mapping, type safety
Fresh-eyes audit fixes:
- BUG: redisSet used wrong Upstash API format (POST body with {value,ex}
instead of command array ['SET',key,value,'EX',ttl]). LLM cache writes
were silently failing, causing fresh LLM calls every run.
- BUG: prediction_market signal type missing from SIGNAL_TO_SOURCE,
inflating confidence for market-derived predictions.
- CLEANUP: Remove unnecessary (f as any) casts in ForecastPanel since
generated Forecast type already has projections/perspectives fields.
- CLEANUP: Bump health maxStaleMin from 60 to 90 to avoid false STALE
alerts when LLM calls add latency to seed runs.
* feat(forecast): headline-entity matching with news corroboration signals
Uses entity graph aliases to match headlines to predictions by
country/theater (excludes commodity/infrastructure nodes to prevent
false positives). Predictions with matching headlines get a
news_corroboration signal visible in the panel.
Also fixes buildUserPrompt to merge unique headlines from ALL
predictions in the LLM batch (was only reading preds[0].newsContext).
Live-tested: 13 of 51 predictions now have corroborating headlines
(Iran, Israel, Syria, Ukraine, etc). 116 tests, all passing.
* feat(forecast): add country-codes.json for headline-entity matching
56 countries with ISO codes, full names, and scoring keywords (extracted
from src/config/countries.ts + UCDP-relevant additions). Used by
attachNewsContext for richer headline matching via getSearchTermsForRegion
which combines country-codes + entity graph + keyword aliases.
14/57 predictions now have news corroboration (limited by headline
coverage, not matching quality: only 8 headlines currently available).
* feat(forecast): read 300 headlines from news digest instead of 8
Read news:digest:v1:full:en (300 headlines across 16 categories) instead
of just news:insights:v1 topStories (8 headlines). Fallback to topStories
if digest is unavailable.
Result: news corroboration jumped from 25% to 64% (38/59 predictions).
* fix(forecast): handle parenthetical country names in headline matching
Strip suffixes like '(Zaire)', '(Burma)', '(Soviet Union)' from UCDP
region names before matching against country-codes.json. Also use
includes() for reverse name lookup to catch partial matches.
Corroboration: 64% -> 69% (41/59). Remaining 18 unmatched are countries
with no current English-language news coverage.
* fix(forecast): cache validated LLM output, add digest test, log cache errors
Fresh-eyes audit fixes:
- Combined LLM cache now stores only validated items (was caching raw
unvalidated output, serving potentially invalid scenarios on cache hit)
- redisSet logs warnings on failure (was silently swallowing all errors)
- Added digest-based test for attachNewsContext (primary path was untested)
- Fixed test arity: attachNewsContext(preds, news, digest) with 3 params
* fix(forecast): remove dead confidenceFromSources, reduce warm-ping timeout
- P2: Remove confidenceFromSources (dead code, computeConfidence overwrites
all initial confidence values). Inline the formula in original detectors.
- P3: Reduce warm-ping timeout from 30s to 15s (non-critical step)
- P3: Add trial status comment on forecast panel config
* fix(forecast): resolve ISO codes to country names, fix market detector, safe pre-push
P1 fixes from code review:
- CII ISO codes (IL, IR) now resolved to full country names (Israel, Iran)
via country-codes.json. Prevents substring false positives (IL matching
Chile) in event correlation. Uses word-boundary regex for matching.
- Market detector CII-to-theater mapping now uses entity graph traversal
instead of broken theater-name substring matching. Iran correctly maps
to Middle East theater via graph links.
- Pre-push hook no longer runs destructive git checkout on proto freshness
failure. Reports mismatch and exits without modifying worktree.
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