Fixed several bugs. First working solution. But uses CPUs rather than NVIDIA GPUs

README.md

@@ -8,77 +8,14 @@ aufrufbar **vom Terminal**, ohne direkte DB-Verbindung (nur Copy & Paste / Datei
 - **Host Networking:** nutzt den Host-Netzwerkstack (Routing/DNS wie Host; ideal wenn nur `br0` zuverlässig ist)
 - **Auto-Updates:** Runtime + Models via `systemd --user` Timer
 - **Viele Logs:** jede Ausführung schreibt detaillierte Logs unter `./logs/`
+- **Freie SQL Server 2022 Q&A:** Modus `ask` für allgemeine Fragen, ohne Pipe via `--text`
 
 ## Voraussetzungen (Arch Linux)
 - docker + docker compose
 - curl
-- python (für JSON-Quoting/Parsing)
+- python
 
 ## Quickstart
 ```bash
 cp .env.example .env
 ./scripts/bootstrap.sh
-echo "SELECT 1;" | ./bin/sqlai analyze-tsql
-```
-
-## Verwendung (Copy & Paste)
-### T-SQL
-```bash
-cat query.sql | ./bin/sqlai analyze-tsql
-```
-
-### Stored Procedure
-```bash
-cat dbo.usp_Something.sql | ./bin/sqlai analyze-proc
-```
-
-### View
-```bash
-cat dbo.vw_Something.sql | ./bin/sqlai analyze-view
-```
-
-### Execution Plan
-- Unterstützt Showplan XML oder Text.
-```bash
-./bin/sqlai analyze-plan --file showplan.xml
-```
-
-### UTF-8 Migration Plan
-```bash
-cat schema_snippet.sql | ./bin/sqlai utf8-migration
-```
-
-## Prompt Library (Templates)
-Unter `./prompts/` findest du Copy&Paste-Templates:
-- `prompts/tsql_review.md`
-- `prompts/plan_review.md`
-- `prompts/utf8_migration_runbook.md`
-- `prompts/indexing_checklist.md`
-- `prompts/sniffing_stats_playbook.md`
-- `prompts/proc_refactor_template.md`
-- `prompts/view_analysis_template.md`
-
-## Logs
-- CLI Logs: `./logs/sqlai-YYYY-MM-DD.log`
-- Bootstrap Logs: `./logs/bootstrap-YYYY-MM-DDTHH:MM:SS.log`
-- Update Logs: `./logs/update-YYYY-MM-DDTHH:MM:SS.log`
-
-Die Logs enthalten:
-- Input-Bytes, Mode, Model
-- Roh-Metriken aus Ollama (Token Counts, Durations)
-- Fehler inkl. curl exit codes
-
-## Auto-Updates aktivieren (systemd --user)
-```bash
-mkdir -p ~/.config/systemd/user
-cp systemd/user/* ~/.config/systemd/user/
-systemctl --user daemon-reload
-systemctl --user enable --now jr-sql-ai-update.timer
-systemctl --user list-timers | grep jr-sql-ai
-```
-
-## Troubleshooting
-- **API nicht erreichbar**: Prüfe `docker ps` und ob Port 11434 lokal erreichbar ist (Host-Netz).
-- **Langsam/OOM**: setze `BASE_MODEL` kleiner (z.B. 7b) und re-run `./scripts/update.sh`.
-- **Model fehlt**: `./scripts/update.sh` ausführen und prüfen ob `ollama list` im Container das Model zeigt:
-  `docker exec -it ollama ollama list`

bin/sqlai

@@ -14,22 +14,33 @@ log_dir="${ROOT}/logs"
 mkdir -p "$log_dir"
 log_file="${log_dir}/sqlai-$(date -I).log"
 
-# log everything (stdout+stderr)
+# Log everything (stdout+stderr)
 exec > >(tee -a "$log_file") 2>&1
 
 usage() {
-  cat <<EOF
+  cat <<'EOF'
 Usage:
-  sqlai <mode> [--file path]
+  sqlai <mode> [--file path] [--text "free text"] [--no-metrics]
+
 Modes:
-  analyze-tsql
+  ask              General SQL Server 2022 Q&A (free text)
-  analyze-proc
+  analyze-tsql     Analyze a T-SQL query
-  analyze-view
+  analyze-proc     Analyze a stored procedure
-  analyze-plan
+  analyze-view     Analyze a view
-  utf8-migration
+  analyze-plan     Analyze an execution plan (Showplan XML or text)
+  utf8-migration   Create a UTF-8 migration plan (SQL Server 2022)
+
+Input options:
+  --text "..."     Provide input text directly (no pipe needed)
+  --file path      Read input from file
+  (no args)        Reads from STDIN
+
+Other options:
+  --no-metrics     Do not print metrics line
 
 Examples:
-  cat query.sql | sqlai analyze-tsql
+  sqlai ask --text "How do I troubleshoot parameter sniffing in SQL Server 2022?"
+  echo "SELECT 1;" | sqlai analyze-tsql
   sqlai analyze-plan --file showplan.xml
 EOF
 }
@@ -39,44 +50,58 @@ mode="${1:-}"
 shift || true
 
 file=""
+text=""
+no_metrics="0"
+
 while [[ $# -gt 0 ]]; do
   case "$1" in
-    --file) file="$2"; shift 2;;
+    --file) file="${2:-}"; shift 2;;
+    --text) text="${2:-}"; shift 2;;
+    --no-metrics) no_metrics="1"; shift 1;;
+    -h|--help) usage; exit 0;;
     *) echo "[$(ts)] ERROR: Unknown arg: $1"; usage; exit 2;;
   esac
 done
 
+# Read input (priority: --text > --file > stdin)
 input=""
-if [[ -n "$file" ]]; then
+input_src=""
-  if [[ ! -f "$file" ]]; then
+if [[ -n "$text" ]]; then
-    echo "[$(ts)] ERROR: file not found: $file"
+  input="$text"
-    exit 3
+  input_src="text"
-  fi
+elif [[ -n "$file" ]]; then
+  [[ -f "$file" ]] || { echo "[$(ts)] ERROR: file not found: $file"; exit 3; }
   input="$(cat "$file")"
+  input_src="file:${file}"
 else
   input="$(cat)"
+  input_src="stdin"
 fi
 
 if [[ -z "${input//[[:space:]]/}" ]]; then
-  echo "[$(ts)] ERROR: empty input"
+  echo "[$(ts)] ERROR: empty input (source=$input_src)"
   exit 4
 fi
 
+# Short instruction per mode (core policy is in Modelfile SYSTEM prompt)
 case "$mode" in
+  ask)
+    instruction=$'Beantworte die Frage als SQL Server 2022 Experte.\n\nWichtig:\n- Wenn Kontext fehlt: keine Rückfragen stellen; stattdessen Annahmen offenlegen und Optionen (A/B/C) mit Vor-/Nachteilen geben.\n- Ergebnis immer strukturiert mit: Kurzfazit, Optionen, Risiken/Checks, Nächste Schritte.\n- Wenn sinnvoll: konkrete T-SQL/DDL Snippets und Checklisten liefern.'
+    ;;
   analyze-tsql)
-    instruction="Analysiere das folgende T-SQL (SQL Server 2022). Finde Performance-Probleme, SARGability, Indizes, Statistiken, Parameter Sniffing Risiken und gib konkrete Verbesserungen."
+    instruction=$'Analysiere das folgende T-SQL (SQL Server 2022): Performance, SARGability, Datentypen, Joins/Predicates, Indizes/Stats, Parameter Sniffing. Gib konkrete Rewrite- und Index-Ideen.'
     ;;
   analyze-proc)
-    instruction="Analysiere die folgende Stored Procedure (SQL Server 2022). Finde Performance-/Correctness-Risiken, Transaktions-/Locking-Themen, Parameter Sniffing, fehlende Indizes. Gib konkrete Refactorings."
+    instruction=$'Analysiere die folgende Stored Procedure (SQL Server 2022): Performance/Correctness, Transaktionen/Locking, Sniffing, Temp tables vs table variables, RBAR. Gib konkrete Refactorings.'
     ;;
   analyze-view)
-    instruction="Analysiere die folgende View (SQL Server 2022). Prüfe SARGability, Expand/Inlining-Effekte, mögliche Indexing-Optionen (z.B. indexed view falls sinnvoll) und Plan-Auswirkungen."
+    instruction=$'Analysiere die folgende View (SQL Server 2022): SARGability, Predicate Pushdown, Expand/Inlining, Aggregationen/Distinct/Union, UDF-Risiken. Gib konkrete Verbesserungen.'
     ;;
   analyze-plan)
-    instruction="Analysiere den folgenden SQL Server Execution Plan (XML Showplan oder Text). Identifiziere teure Operatoren, Spills, Warnungen, Kardinalitätsfehler, fehlende Indizes und gib konkrete Fixes."
+    instruction=$'Analysiere den folgenden SQL Server Execution Plan (Showplan XML oder Text): Hotspots, Spills/Warnings, Memory Grants, Kardinalität, Fixes (Rewrite/Stats/Indexing vorsichtig/Sniffing Mitigation).'
     ;;
   utf8-migration)
-    instruction="Erstelle einen Migrationsplan, um Tabellen/Spalten auf UTF-8 umzustellen (UTF-8 enabled collations mit _UTF8). Berücksichtige Abhängigkeiten (FK/PK/Indexes/Computed/Triggers), Risiken und gib eine Schritt-für-Schritt Checkliste."
+    instruction=$'Erstelle einen Migrationsplan (SQL Server 2022) zur Umstellung auf UTF-8 (UTF-8 enabled collations _UTF8): Abhängigkeiten (PK/FK/Indexes/Computed/Triggers), Cutover, Rollback, Tests, konkrete DDL/Checklisten.'
     ;;
   *)
     echo "[$(ts)] ERROR: unknown mode: $mode"
@@ -85,38 +110,66 @@ case "$mode" in
     ;;
 esac
 
+req_id="$(date +%Y%m%d-%H%M%S)-$$-$RANDOM"
+
+echo "================================================================================"
+echo "[$(ts)] sqlai: REQUEST_START id=$req_id"
+echo "[$(ts)] sqlai: MODE=$mode MODEL=$EXPERT_MODEL OLLAMA_URL=$OLLAMA_URL"
+echo "[$(ts)] sqlai: INPUT_SOURCE=$input_src INPUT_BYTES=$(printf "%s" "$input" | wc -c)"
+
+# Delimited markup
 prompt=$(cat <<EOF
 ${instruction}
 
----BEGIN INPUT---
+---BEGIN INPUT (${mode})---
 ${input}
----END INPUT---
+---END INPUT (${mode})---
 EOF
 )
 
-echo "[$(ts)] sqlai: MODE=$mode MODEL=$EXPERT_MODEL OLLAMA_URL=$OLLAMA_URL"
+# Build JSON safely (no heredoc+herestring combos)
-echo "[$(ts)] sqlai: INPUT_BYTES=$(printf "%s" "$input" | wc -c)"
+payload="$(
-
+printf '%s' "$prompt" | python -c '
-payload="$(python - <<'PY'
 import json, os, sys
 model=os.environ.get("EXPERT_MODEL","jr-sql-expert")
 prompt=sys.stdin.read()
 print(json.dumps({"model": model, "prompt": prompt, "stream": False}, ensure_ascii=False))
-PY
+'
-<<<"$prompt")"
+)"
 
-echo "[$(ts)] sqlai: sending request..."
+resp_file="$(mktemp)"
-resp="$(curl -sS -X POST "${OLLAMA_URL}/api/generate" -H 'Content-Type: application/json' --data-binary "$payload")" || {
+http_code="$(
-  rc=$?
+curl -sS -o "$resp_file" -w "%{http_code}" \
-  echo "[$(ts)] sqlai: ERROR: curl failed rc=$rc"
+  -X POST "${OLLAMA_URL}/api/generate" \
-  exit 10
+  -H 'Content-Type: application/json' \
-}
+  --data-binary "$payload" \
+  || true
+)"
 
-python - <<'PY'
+resp="$(cat "$resp_file")"
+rm -f "$resp_file"
+
+echo "[$(ts)] sqlai: HTTP_CODE=$http_code RESP_BYTES=$(printf "%s" "$resp" | wc -c) id=$req_id"
+
+# Validate JSON
+if ! printf '%s' "$resp" | python -c 'import json,sys; json.load(sys.stdin)' >/dev/null 2>&1; then
+  echo "[$(ts)] sqlai: ERROR: response is not valid JSON id=$req_id"
+  echo "[$(ts)] sqlai: RAW_RESPONSE_BEGIN id=$req_id"
+  printf '%s\n' "$resp"
+  echo "[$(ts)] sqlai: RAW_RESPONSE_END id=$req_id"
+  echo "[$(ts)] sqlai: REQUEST_END id=$req_id status=error"
+  exit 11
+fi
+
+# Extract error/response/metrics in one pass
+extracted="$(
+printf '%s' "$resp" | python -c '
 import json,sys
-obj=json.loads(sys.stdin.read())
+obj=json.load(sys.stdin)
-print("\n" + (obj.get("response","").rstrip()) + "\n")
+out={
-md = {
+  "error": obj.get("error"),
+  "response": obj.get("response",""),
+  "metrics": {
     "total_duration": obj.get("total_duration"),
     "load_duration": obj.get("load_duration"),
     "prompt_eval_count": obj.get("prompt_eval_count"),
@@ -124,7 +177,51 @@ md = {
     "eval_count": obj.get("eval_count"),
     "eval_duration": obj.get("eval_duration"),
   }
-print("METRICS=" + json.dumps(md, ensure_ascii=False))
+}
-PY <<<"$resp"
+print(json.dumps(out, ensure_ascii=False))
+'
+)"
 
-echo "[$(ts)] sqlai: done"
+error_msg="$(printf '%s' "$extracted" | python -c 'import json,sys; print((json.load(sys.stdin).get("error") or "").strip())')"
+response_txt="$(printf '%s' "$extracted" | python -c 'import json,sys; print(json.load(sys.stdin).get("response") or "")')"
+
+# HTTP != 200 is error
+if [[ "$http_code" != "200" ]]; then
+  echo "[$(ts)] sqlai: ERROR: non-200 HTTP_CODE=$http_code id=$req_id"
+  if [[ -n "$error_msg" ]]; then
+    echo "[$(ts)] sqlai: OLLAMA_ERROR=$error_msg id=$req_id"
+  else
+    echo "[$(ts)] sqlai: BODY_SNIPPET_BEGIN id=$req_id"
+    printf '%s\n' "$resp" | head -n 120
+    echo "[$(ts)] sqlai: BODY_SNIPPET_END id=$req_id"
+  fi
+  echo "[$(ts)] sqlai: REQUEST_END id=$req_id status=error"
+  exit 12
+fi
+
+# API-level error
+if [[ -n "$error_msg" ]]; then
+  echo "[$(ts)] sqlai: ERROR: OLLAMA_ERROR=$error_msg id=$req_id"
+  echo "[$(ts)] sqlai: REQUEST_END id=$req_id status=error"
+  exit 13
+fi
+
+# Print answer
+printf "\n%s\n\n" "$(printf "%s" "$response_txt" | sed 's/[[:space:]]*$//')"
+
+# If response empty, dump JSON snippet to log
+if [[ -z "${response_txt//[[:space:]]/}" ]]; then
+  echo "[$(ts)] sqlai: WARN: empty response id=$req_id"
+  echo "[$(ts)] sqlai: RAW_JSON_SNIPPET_BEGIN id=$req_id"
+  printf '%s\n' "$resp" | head -n 200
+  echo "[$(ts)] sqlai: RAW_JSON_SNIPPET_END id=$req_id"
+fi
+
+# Print metrics optionally
+if [[ "$no_metrics" != "1" ]]; then
+  metrics_line="$(printf '%s' "$extracted" | python -c 'import json,sys; print("METRICS="+json.dumps(json.load(sys.stdin)["metrics"], ensure_ascii=False))')"
+  echo "$metrics_line"
+fi
+
+echo "[$(ts)] sqlai: REQUEST_END id=$req_id status=ok"
+echo "================================================================================"

prompts/sqlserver_qna.md

@@ -0,0 +1,27 @@
+# SQL Server 2022 Q&A Template (Copy & Paste)
+
+Zweck: Freie technische Fragestellungen zu SQL Server 2022 strukturiert beantworten lassen.
+Hinweis: Keine DB-Verbindung, nur Analyse/Planung/Empfehlung.
+
+## Frage
+<PASTE QUESTION HERE>
+
+## Kontext (optional, aber hilfreich)
+- SQL Server: 2022 (ja/nein)
+- DB Kompatibilitätslevel:
+- Collation aktuell (DB + betroffene Spalten):
+- Umfang: Anzahl Tabellen/Spalten grob, Rowcounts grob:
+- Data profile: nur west-europäisch / international / Emojis / CJK / gemischt:
+- Clients/Apps: .NET / JDBC / ODBC / ETL Tool:
+- Schnittstellen: CSV/JSON/XML, Data Warehouse, Replication, Linked Servers:
+- Non-functional: Downtime-Fenster, Rollback-Anforderung, Performance-SLA:
+
+## Erwartete Ausgabe (bitte strikt)
+1) Kurzfazit (Empfehlung in 3–6 Bulletpoints)
+2) Optionen (A/B/C) mit Vor- & Nachteilen
+3) Risiken & Checks (Checkliste)
+4) Konkreter Plan / Next Steps (inkl. DDL/T-SQL Snippets wenn sinnvoll)
+
+---BEGIN QUESTION---
+<PASTE HERE>
+---END QUESTION---

scripts/bootstrap.sh

@@ -2,26 +2,34 @@
 set -euo pipefail
 
 ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
+
+# Create .env if missing (do not overwrite)
 cp -n "${ROOT}/.env.example" "${ROOT}/.env" || true
+
+# shellcheck disable=SC1090
 source "${ROOT}/.env"
 
 ts(){ date -Is; }
+
 log_dir="${ROOT}/logs"
 mkdir -p "$log_dir"
 log_file="${log_dir}/bootstrap-$(date -Iseconds).log"
+
+# log everything (stdout+stderr)
 exec > >(tee -a "$log_file") 2>&1
 
 echo "[$(ts)] bootstrap: starting (ROOT=$ROOT)"
+
 echo "[$(ts)] bootstrap: docker compose up -d"
 docker compose -f "${ROOT}/docker-compose.yml" up -d
 
 echo "[$(ts)] bootstrap: waiting for Ollama API at ${OLLAMA_URL} ..."
-for i in {1..90}; do
+for i in {1..120}; do
   if curl -sS "${OLLAMA_URL}/api/tags" >/dev/null 2>&1; then
     echo "[$(ts)] bootstrap: Ollama API is up."
     break
   fi
-  if [[ $i -eq 90 ]]; then
+  if [[ $i -eq 120 ]]; then
     echo "[$(ts)] bootstrap: ERROR: API did not come up in time."
     exit 1
   fi
@@ -39,11 +47,29 @@ if [[ -n "${EXTRA_MODELS:-}" ]]; then
 fi
 
 echo "[$(ts)] bootstrap: building expert model: ${EXPERT_MODEL}"
+
 tmp="$(mktemp)"
 sed "s/\${BASE_MODEL}/${BASE_MODEL}/g" "${ROOT}/Modelfile" > "$tmp"
-docker exec -i ollama ollama create "${EXPERT_MODEL}" -f - < "$tmp"
+
+# Copy Modelfile into container and build from explicit path (robust)
+docker cp "$tmp" ollama:/tmp/Modelfile.jr-sql-expert
+docker exec -it ollama ollama create "${EXPERT_MODEL}" -f /tmp/Modelfile.jr-sql-expert
+
 rm -f "$tmp"
 
+echo "[$(ts)] bootstrap: verifying model exists..."
+docker exec -it ollama ollama list | grep -F "${EXPERT_MODEL}" >/dev/null && \
+  echo "[$(ts)] bootstrap: OK: ${EXPERT_MODEL} is available."
+
+# End-to-end test
+if [[ ! -x "${ROOT}/bin/sqlai" ]]; then
+  echo "[$(ts)] bootstrap: ERROR: ${ROOT}/bin/sqlai not found or not executable"
+  ls -la "${ROOT}/bin" || true
+  exit 2
+fi
+
+echo "[$(ts)] bootstrap: test (running one request)..."
+echo "SELECT 1;" | "${ROOT}/bin/sqlai" analyze-tsql
+echo "[$(ts)] bootstrap: test done"
+
 echo "[$(ts)] bootstrap: done"
-echo "[$(ts)] bootstrap: test:"
-echo "  echo "SELECT 1;" | ${ROOT}/bin/sqlai analyze-tsql"

scripts/update.sh

@@ -2,27 +2,34 @@
 set -euo pipefail
 
 ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
+
+# shellcheck disable=SC1090
 source "${ROOT}/.env"
 
 ts(){ date -Is; }
+
 log_dir="${ROOT}/logs"
 mkdir -p "$log_dir"
 log_file="${log_dir}/update-$(date -Iseconds).log"
+
+# log everything (stdout+stderr)
 exec > >(tee -a "$log_file") 2>&1
 
 echo "[$(ts)] update: starting (ROOT=$ROOT)"
+
 echo "[$(ts)] update: pulling docker image(s)"
 docker compose -f "${ROOT}/docker-compose.yml" pull
+
 echo "[$(ts)] update: restarting services"
 docker compose -f "${ROOT}/docker-compose.yml" up -d
 
 echo "[$(ts)] update: waiting for Ollama API at ${OLLAMA_URL} ..."
-for i in {1..90}; do
+for i in {1..120}; do
   if curl -sS "${OLLAMA_URL}/api/tags" >/dev/null 2>&1; then
     echo "[$(ts)] update: Ollama API is up."
     break
   fi
-  if [[ $i -eq 90 ]]; then
+  if [[ $i -eq 120 ]]; then
     echo "[$(ts)] update: ERROR: API did not come up in time."
     exit 1
   fi
@@ -40,9 +47,17 @@ if [[ -n "${EXTRA_MODELS:-}" ]]; then
 fi
 
 echo "[$(ts)] update: rebuilding expert model: ${EXPERT_MODEL}"
+
 tmp="$(mktemp)"
 sed "s/\${BASE_MODEL}/${BASE_MODEL}/g" "${ROOT}/Modelfile" > "$tmp"
-docker exec -i ollama ollama create "${EXPERT_MODEL}" -f - < "$tmp"
+
+docker cp "$tmp" ollama:/tmp/Modelfile.jr-sql-expert
+docker exec -it ollama ollama create "${EXPERT_MODEL}" -f /tmp/Modelfile.jr-sql-expert
+
 rm -f "$tmp"
 
+echo "[$(ts)] update: verifying model exists..."
+docker exec -it ollama ollama list | grep -F "${EXPERT_MODEL}" >/dev/null && \
+  echo "[$(ts)] update: OK: ${EXPERT_MODEL} is available."
+
 echo "[$(ts)] update: complete"