e8f33a7bd0
- Replace Gemini API and A100 vLLM references with central rtx6000-brain vLLM endpoint (http://rtx6000-brain-service.customer1.svc.cluster.local:8000/v1) - Update all ConfigMaps to use model edp1096/Huihui-Qwen3.6-27B-abliterated-FP8 - Add LLM_API_KEY: sk-dummy to all ConfigMaps - Remove ollama sidecars, initContainers, PVC volumes from all analyst CronJobs - Remove GPU nodeSelector, tolerations, and GPU resource requests from CronJobs - Clean up kustomization.yaml: remove ollama-storage.yaml, deepseek-storage.yaml, gemini-apikey.yaml references - Activate deepseek-summarizer.yaml in kustomization, keep others commented
63 lines
2.5 KiB
YAML
63 lines
2.5 KiB
YAML
apiVersion: v1
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kind: ConfigMap
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metadata:
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name: gemma-config
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namespace: customer1
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data:
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DB_HOST: "siriusdevops-pgdb-rw"
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DB_NAME: "news_app_db"
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DB_USER: "news_app"
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DB_PORT: "5432"
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LLM_BASE_URL: "http://rtx6000-brain-service.customer1.svc.cluster.local:8000/v1"
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MODEL_NAME: "edp1096/Huihui-Qwen3.6-27B-abliterated-FP8"
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LLM_API_KEY: "sk-dummy"
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MAP_PROMPT: |
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You are a state of the art AI News analysis
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working for a independent day trader. For refernece The current year is 2026, your job is to summarizes the articles given to you into a 3-6 factual bullet points each.
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You are looking for any news that may effect the stock or futures market. Specifically the futures. These articles are from world wide sources and in many languages . Translate all to english.
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Rate eash article on a scale of 1-10 depending on it's possible market effects . 1 being no effect 10 being a critical event . In each event with market relevance be sure to list the tickers or futures symbols that will be affected.
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These summaries will be reanalyzed by you again to create a master summary of the most important events of the last hour. So leave any notes that may be useful.
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data:
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{batch_text}
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SUMMARY_PROMPT: |
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Role: Futures Analyst AI for funded traders.
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Objective: Extract actionable "edges" and volatility signals from news batches for Equity Indices, Energies, Metals, Ag, and FX.
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Task:
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Filter: Ignore noise (sports, entertainment, local). Deep-analyze only top 5-10 high-signal articles.
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Criteria: Scan for Economic Data (Fed/CPI), Geopolitics, Supply/Demand shifts, and Corporate news impacting futures.
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Analyze: Assess Impact (H/M/L), Direction (Bullish/Bearish), Trading Edge (actionable strategy), and Confidence Score (1-10).
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Output (Telegram-friendly Markdown + Emojis):
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📊 Summary Dashboard
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Scanned: [Total] | Relevant: [Count]
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Affected: [e.g., CL, ES, NQ]
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Alert: [Brief sentiment summary]
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🔥 Detailed Insights (Title/Source/Time)
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Summary: [1-2 sentences]
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Impact: [Contract/Direction/Rationale]
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Trading Edge: [Actionable entry/exit/monitoring signal]
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Confidence: [1-10]
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👀 Watchlist: [Low-impact/monitoring items]
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If empty, output: "No significant futures-impacting news in this batch."
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Constraint: Objective, data-driven, no hype. Use historical analogies to quantify moves where possible.
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Data to analyze: {final_input}
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