clean up unused files
This commit is contained in:
sirius0xdev
parent
d7beb9f6ab
commit
87632b2247
8 changed files with 1 additions and 222 deletions
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@ -1,27 +0,0 @@
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apiVersion: batch/v1
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kind: CronJob
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metadata:
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name: analyst-gemma
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namespace: customer1
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spec:
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schedule: "15 * * * *"
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jobTemplate:
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spec:
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template:
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spec:
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containers:
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- name: analyst
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image: siriussec/summarizerlocal:3.5
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imagePullPolicy: Always
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env:
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- name: DB_PASSWORD
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valueFrom:
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secretKeyRef:
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name: news-app-password
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key: password
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envFrom:
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- configMapRef:
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name: gemma-config
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restartPolicy: OnFailure
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@ -1,31 +0,0 @@
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apiVersion: batch/v1
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kind: CronJob
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metadata:
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name: news-analyst-gemini
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namespace: customer1
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spec:
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schedule: "15 * * * *"
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jobTemplate:
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spec:
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template:
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spec:
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containers:
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- name: analyst-gemini
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image: siriussec/summarizer:1.5
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env:
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- name: DB_PASSWORD
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valueFrom:
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secretKeyRef:
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name: news-app-password
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key: password
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envFrom:
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- configMapRef:
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name: news-app-config
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- secretRef:
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name: gemini-apikey
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restartPolicy: OnFailure
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@ -1,34 +0,0 @@
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: news-app-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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SUMMARY_PROMPT: |
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You are an expert news analyst working for DARPA. Your task is to deliver thorough, insightful analysis of the provided news articles.
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ARTICLES:
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{data}
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Instructions:
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- Identify the 3–6 most impactful events or developments (prioritize geopolitical, technological, military, economic, or security implications).
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- For each impactful event: Write a detailed 4–6 sentence summary, including key facts, context, potential consequences, and why it matters strategically.
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- For all remaining/lesser articles: Write 2–4 cohesive paragraphs synthesizing them into broader themes or trends (do NOT list them individually unless critical).
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- Aim for a total output length of 400–800 words. Be comprehensive but concise.
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- Always produce substantial content — even if articles seem minor, extract value, implications, or connections.
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- Use neutral, professional, analytical tone with precise language.
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- Structure your response clearly with headings like:
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## Most Impactful Events
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### Event 1: [Brief Title]
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[4–6 sentences...]
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...
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## Synthesis of Lesser Developments
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[Paragraphs...]
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- Output ONLY the structured report — no introductions, apologies, or meta-comments like "no major events found".
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apiVersion: batch/v1
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kind: CronJob
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metadata:
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name: deepseek-analyst-v1.1
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namespace: customer1
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spec:
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schedule: "15 * * * *"
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jobTemplate:
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spec:
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template:
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spec:
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containers:
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- name: analyst
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image: siriussec/summarizerlocal:3.6
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imagePullPolicy: Always
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env:
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- name: DB_PASSWORD
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valueFrom:
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secretKeyRef:
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name: news-app-password
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key: password
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envFrom:
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- configMapRef:
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name: deepseek-config
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resources:
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requests:
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cpu: "1"
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memory: "4Gi"
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restartPolicy: OnFailure
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@ -1,23 +0,0 @@
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apiVersion: v1
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data:
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GEMINI_API_KEY: ENC[AES256_GCM,data:EcyraxRLXiWWQVhJNmmUGut6AmSMA8BvFg0X/PoP2ckclcFas8pU7GfsmMXFD9arcuCJpg==,iv:52YNqcPGWQqQY4jdfc8DtP6dROTsxJqUDahXzEN3ycI=,tag:Q/9l0mDG+5sjTLKt5Jg4sw==,type:str]
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kind: Secret
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metadata:
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creationTimestamp: null
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name: gemini-apikey
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namespace: customer1
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sops:
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age:
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- recipient: age1uuxf066xuuqgvjppxfcmqkwfcufnwp3wcwnl9h20g9k4l8nkw9jsaungf7
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enc: |
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-----BEGIN AGE ENCRYPTED FILE-----
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YWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IFgyNTUxOSBTcGdQb0tMdWtiTkl3aWZt
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dnl4ZHo3aHZ4bGgvR1Rva0E5dlloQlRGY0d3CmMwOUJWb3NlWEtRVEk3STJ5MWVk
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d21ZNzkyeHBZQTF3dWhYdUlSZEtQQkEKLS0tIEUrU3M2UGh5Y1BPTUhRQi9NK2VN
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Vi83QzhjcG45U1B1WTJGcklFdkRvQjQK/jAjKf3wCZCpHp5naJoitHfN1yEEqmoN
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p5AMB97oTtyVhvu3wkRrxqHB8LKNWZifaJf8g13To1OgFh9azC/Kng==
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-----END AGE ENCRYPTED FILE-----
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lastmodified: "2026-01-16T20:31:27Z"
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mac: ENC[AES256_GCM,data:7y9LrLu+bngdTuhb1ucIDnvg3jpKgXW6rXMpS6O08nxHHBKAKA6Jl80PsfOE0aQNSsIM2ERfrdGmfLkNh470oB/erGvEHxRLKcf8IStPxoPpry99XffiVo+QJrCPIzqgKy1tw37bqBNrm5LJkhUmugzf/IVt6WKiGCZhpbXjB7E=,iv:RfK084/orIGcRwXMeAip0BKXJ3eYJoRmEgLF72ER9vA=,tag:NKqZKIrt3yVkGL4ZkqcZKA==,type:str]
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encrypted_regex: ^(data|stringData)$
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version: 3.11.0
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@ -1,63 +0,0 @@
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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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@ -1,5 +1,3 @@
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apiVersion: batch/v1
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apiVersion: batch/v1
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kind: CronJob
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kind: CronJob
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metadata:
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metadata:
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@ -27,5 +25,5 @@ spec:
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resources:
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resources:
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requests:
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requests:
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cpu: "1"
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cpu: "1"
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memory: "2Gi"
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memory: "1Gi"
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restartPolicy: OnFailure
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restartPolicy: OnFailure
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@ -1,11 +0,0 @@
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: ollama-storage
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namespace: customer1
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spec:
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accessModes:
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- ReadWriteOnce
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resources:
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requests:
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storage: 50Gi
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