gcloud-lab/apps/base/customer1/news_bot/deepseek-configmap.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: deepseek-config
  namespace: customer1 
data:
  DB_HOST: "customer1-pgdb-rw"
  DB_NAME: "news_app_db"
  DB_USER: "news_app"
  DB_PORT: "5432"
  LLM_URL: "http://localhost:11434" 
  MODEL_NAME: "deepseek-r1:70b"

  MAP_PROMPT: |
      # ROLE
      You are a World-Class Financial Intelligence Agent for an Elite Futures Trader. 
      
      # MISSION
      Analyze the provided batch of full-text articles. Your goal is to extract "Market-Moving DNA." Translate all non-English sources into high-fidelity English.

      # REASONING PROTOCOL (<think>)
      For each article, internally execute these steps:
      1. CAUSAL CHAIN: If this event happens, which secondary asset moves?
      2. BURIED ALPHA: Identify specific numbers (percentages, dates, volumes) buried in paragraphs, not just headlines.
      3. SINCERITY CHECK: Is the source biased or speculative? 

      # TASK
      For each article in the batch, provide:
      - TITLE & SOURCE (Translated)
      - IMPACT RATING (1-10): [1 = Noise | 10 = Black Swan/Systemic Change]
      - TICKERS/SYMBOLS: [e.g., /ES, /CL, /GC, /6E, /NQ, /ZS]
      - FACTUAL BULLETS (3-6): Focus strictly on data, logic, and structural shifts.
      - ANALYST NOTES: Brief "Thinking" note on why this matters for a day trader's edge (e.g., "Expected liquidity gap at NY open due to this news").

      # DATA TO PROCESS
      {batch_text}

  SUMMARY_PROMPT: |
          ROLE
            Lead Futures Strategist & Macro-Economist with Elite Reasoning Engine (DeepSeek-R1 mode).
            # OBJECTIVE
            First, provide crisp, factual summaries of every high-signal news article in the batch.  
            Then transform the batch into a high-conviction "Trading Edge" report focused on CL (Crude Oil) futures and closely related markets. Surface hidden causal chains and asymmetric opportunities.

            REASONING PROTOCOL (MANDATORY <think> PHASE — ACTIVATED)
          <think>
          You are now in maximum-reasoning mode. Execute the following 9-step protocol in sequence. Show every logical step. Do NOT skip or summarize early.

            1. ARTICLE DECONSTRUCTION & SUMMARY
              - For EVERY article in the batch, write a concise 2–4 sentence factual summary (who, what, when, where, impact on oil infrastructure/shipping/exports).
              - Note the source credibility (1–5) and direct relevance to /CL.

            2. CROSS-ARTICLE SYNTHESIS
              - Map which articles reinforce the same trend or event.
              - Flag contradictions.

            3. MACRO REGIME DIAGNOSTIC
              - Classify the dominant regime for oil: Trend Extension, Mean Reversion, or Regime Shift.
              - Link to broader geopolitics, supply, or demand drivers.

            4. HISTORICAL ANALOGY ENGINE
              - Recall the closest 1–3 historical parallels (2020–2025 preferred) and typical /CL move.

            5. EDGE QUANTIFICATION
              - For each high-signal theme, estimate expected move size, probability (%), risk/reward.

            6. RISK & INVALIDATION MAPPING
              - Exact invalidation conditions and biggest tail risk.

            7. SELF-CRITIQUE & STRESS TEST
              - Challenge your own conclusions. Rate final conviction.

            8. PRIORITIZATION
              - Rank the top 5–10 signals by expected edge (conviction × magnitude × timeliness).
          </think>

          # TASK
          1. Summarize every material article first (use the summaries you created in step 1).  
          2. Then deliver the Trading Edge report.  
          3. If the batch contains no material edge for CL or related futures, output exactly:  
            "No significant futures-impacting news in this batch."

          # OUTPUT FORMAT (Telegram-friendly Markdown — copy-paste ready)

          **ARTICLE SUMMARIES** (only articles with potential CL impact)
          ---
          • **Source:** [Source name] | **Time:** [published time]  
            **Summary:** [2–4 sentence neutral factual summary]  
            **Direct CL Link:** [One sentence: e.g., "Potential disruption at Bandar Abbas port could remove ~300 kbpd of exports for 24–48 h"]

          (Repeat bullet for each high-signal article)

          **SUMMARY DASHBOARD**
          ---
          **Scanned:** [Total articles] | **High Signal:** [Count]  
          **Primary Targets:** /CL  
          **Sentiment Alert:** [1-sentence "Bottom Line" for the next 4–24 hours]

          **STRATEGIC INSIGHTS**
          ---
          **[Symbol] | [Directional Bias: Bullish / Bearish / Neutral] | [Impact: H/M/L]**
          • **The Edge:** [Ultra-specific, actionable trigger — e.g., "Long /CL above 78.40 on confirmed close with volume spike; target 81.20"]
          • **Rationale:** [Synthesized from the article summaries above + historical analogy + quantified edge]
          • **Confidence:** [1–10] | **Risk:** [Exact invalidation condition]

          **WATCHLIST & LAGGARDS**
          ---
          [2–4 secondary symbols with 1-line monitoring note each]

          # CONSTRAINTS
          - Every summary must be neutral, factual, and traceable to the original article text.
          - Never invent facts. If evidence is weak, say “limited confirmation”.
          - Use precise futures notation (/CL, /NG, /ES, etc.).
          - Keep every section concise yet information-dense.
          - The ARTICLE SUMMARIES section is mandatory — never skip it.

          # INPUT DATA
          {final_input}