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Caution Review failedThe pull request is closed. WalkthroughAdds status-based operational constraints for boilers via StatusParameters, consolidates and compacts notebook outputs and cell source representations, suppresses solver console output in notebook mode, and threads a progress flag through the solve pipeline and FlowSystem logging. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant FlowSystem
participant Boiler as MainBoiler\n(StatusParameters)
participant Solver
participant Solution
User->>FlowSystem: build system (includes Boiler with StatusParameters)
FlowSystem->>Boiler: register constraints (min_uptime, min_downtime, startup_costs)
alt Constrained run
User->>FlowSystem: solve(constrained)
FlowSystem->>Solver: solve(progress=CONFIG.Solving.log_to_console)
Solver->>Boiler: enforce status constraints during optimization
Solver->>Solution: return constrained solution (statuses, costs)
else Baseline run
User->>FlowSystem: solve(baseline)
FlowSystem->>Solver: solve(progress=CONFIG.Solving.log_to_console)
Solver->>Solution: return baseline solution
end
Solution->>FlowSystem: extract status-aware outputs (on/off, heatmaps)
FlowSystem->>User: report consolidated summaries and constraint overhead
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes
Possibly related PRs
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Poem
Pre-merge checks and finishing touches❌ Failed checks (2 warnings)
✅ Passed checks (1 passed)
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📒 Files selected for processing (9)
docs/notebooks/03-investment-optimization.ipynb(4 hunks)docs/notebooks/04-operational-constraints.ipynb(9 hunks)docs/notebooks/05-multi-carrier-system.ipynb(3 hunks)docs/notebooks/06a-time-varying-parameters.ipynb(8 hunks)docs/notebooks/09-plotting-and-data-access.ipynb(1 hunks)docs/notebooks/10-transmission.ipynb(10 hunks)flixopt/config.py(2 hunks)flixopt/flow_system.py(2 hunks)flixopt/optimization.py(1 hunks)
🧰 Additional context used
🧬 Code graph analysis (2)
flixopt/optimization.py (1)
flixopt/config.py (2)
CONFIG(181-893)Solving(522-545)
flixopt/flow_system.py (1)
flixopt/config.py (2)
CONFIG(181-893)Solving(522-545)
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- GitHub Check: test (3.12)
- GitHub Check: test (3.13)
- GitHub Check: test (3.14)
- GitHub Check: test (3.11)
- GitHub Check: Build documentation
🔇 Additional comments (7)
flixopt/config.py (2)
796-796: LGTM! Clear documentation of behavior.The comment accurately describes the configuration change below and improves code readability.
821-823: LGTM! Sensible defaults for notebook environments.Disabling solver console output and main results logging in notebooks reduces cell clutter while still allowing users to manually enable these via
CONFIG.Solving.log_to_console = Trueif needed for debugging.This aligns with the progress parameter changes in
flixopt/optimization.py(line 245) andflixopt/flow_system.py(line 1329) that respect this configuration flag.flixopt/flow_system.py (2)
600-600: LGTM! Appropriate log level for auto-correcting behavior.Downgrading from WARNING to INFO is correct since
connect_and_transform()is called automatically. This isn't an error condition but normal behavior, so INFO level is more appropriate and won't unnecessarily alarm users.
1329-1329: LGTM! Consistent progress control with Optimization.solve().The addition of
progress=CONFIG.Solving.log_to_consolemaintains consistency with the identical change inflixopt/optimization.py(line 245), ensuring uniform progress bar behavior across both the new (FlowSystem.solve()) and deprecated (Optimization.solve()) APIs.docs/notebooks/06a-time-varying-parameters.ipynb (1)
53-54: LGTM! Standard encoding practices for notebook compatibility.All changes are Unicode character escape sequences (° →
\u00b0, → →\u2192, € →\u20ac) that improve cross-platform compatibility and version control handling. No functional changes to the notebook's logic or outputs.Also applies to: 85-85, 117-117, 151-151, 171-171, 196-196, 252-252, 286-286
flixopt/optimization.py (1)
245-245: linopy Model.solve() correctly accepts the progress parameter.The progress parameter is a boolean option that controls whether to show a progress bar of writing the lp file, with the default being None (which shows the progress bar if the model has more than 10000 variables and constraints). Passing
CONFIG.Solving.log_to_consoleto control progress bar visibility is a valid and appropriate use of this parameter.docs/notebooks/04-operational-constraints.ipynb (1)
143-159: The fuel_flow size requirement when using status_parameters is documented in the v5.0.0 CHANGELOG as a breaking change and validation constraint. The notebook example correctly includes size=600 with an explanatory comment. Validation will catch violations with a clear error message, guiding users who may not have consulted the migration guide.
| "source": "# Run the generation script (only needed once, or to regenerate)\n!python data/generate_example_systems.py > /dev/null 2>&1", | ||
| "outputs": [], | ||
| "execution_count": null |
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🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
# Check if the notebook file exists and view the relevant lines
if [ -f "docs/notebooks/09-plotting-and-data-access.ipynb" ]; then
echo "=== Notebook file found ==="
# Use jq to parse the JSON notebook and find the cell around lines 66-68
jq '.cells[] | select(.source | tostring | contains("generate_example_systems")) | {source, outputs, execution_count}' docs/notebooks/09-plotting-and-data-access.ipynb 2>/dev/null || echo "JQ parsing failed, trying alternative method"
echo ""
echo "=== Raw JSON excerpt ==="
# Show raw portion to verify structure
jq '.cells[20:25]' docs/notebooks/09-plotting-and-data-access.ipynb 2>/dev/null | head -100
fi
# Check if the data generation script exists
if [ -f "data/generate_example_systems.py" ]; then
echo "=== Data generation script found ==="
wc -l data/generate_example_systems.py
head -30 data/generate_example_systems.py
else
echo "=== Data generation script NOT found ==="
fiRepository: flixOpt/flixopt
Length of output: 8946
🏁 Script executed:
#!/bin/bash
# Find the notebook file
find . -name "09-plotting-and-data-access.ipynb" -type f
# If found, examine its content
if [ -f "docs/notebooks/09-plotting-and-data-access.ipynb" ]; then
echo "=== Checking notebook structure ==="
jq -r '.cells | length' docs/notebooks/09-plotting-and-data-access.ipynb
echo ""
echo "=== Looking for cells with generate_example_systems ==="
jq -r '.cells[] | select(.cell_type=="code") | .source[] | select(contains("generate_example_systems"))?' docs/notebooks/09-plotting-and-data-access.ipynb 2>/dev/null || echo "No match found with simple grep"
# Alternative: show cell sources to find the right one
echo ""
echo "=== All code cells with 'python' keyword ==="
jq -r '.cells[] | select(.cell_type=="code" and (.source | tostring | contains("python"))) | "\(.source)"' docs/notebooks/09-plotting-and-data-access.ipynb | head -50
fiRepository: flixOpt/flixopt
Length of output: 145
🏁 Script executed:
#!/bin/bash
cd /root/repo 2>/dev/null || cd .
# Check file exists
if [ ! -f "docs/notebooks/09-plotting-and-data-access.ipynb" ]; then
echo "File not found at docs/notebooks/09-plotting-and-data-access.ipynb"
# Try to find it
find . -name "*09-plotting*" -type f 2>/dev/null | head -5
exit 1
fi
echo "=== File found ==="
# Use python to parse JSON and find the cell
python3 << 'EOF'
import json
import sys
with open('docs/notebooks/09-plotting-and-data-access.ipynb', 'r') as f:
nb = json.load(f)
# Find cells with generate_example_systems
for i, cell in enumerate(nb['cells']):
if cell.get('cell_type') == 'code':
source = ''.join(cell.get('source', []))
if 'generate_example_systems' in source:
print(f"\n=== Cell {i} ===")
print(f"Source: {source}")
print(f"Outputs: {cell.get('outputs', [])}")
print(f"Execution count: {cell.get('execution_count')}")
break
else:
print("No cell with 'generate_example_systems' found")
print(f"Total cells: {len(nb['cells'])}")
EOFRepository: flixOpt/flixopt
Length of output: 145
🏁 Script executed:
#!/bin/bash
# Direct check of the notebook file
python3 << 'PYEOF'
import json
try:
with open('docs/notebooks/09-plotting-and-data-access.ipynb') as f:
nb = json.load(f)
# Search for the cell with generate_example_systems
for cell in nb['cells']:
if cell.get('cell_type') == 'code':
src = ''.join(cell.get('source', []))
if 'generate_example_systems' in src:
print("FOUND CELL:")
print(src)
print("\n---")
print(f"Outputs: {len(cell.get('outputs', []))} items")
print(f"Execution count: {cell.get('execution_count')}")
break
else:
print("Cell not found - checking data script exists")
import os
print(f"Script exists: {os.path.exists('data/generate_example_systems.py')}")
except Exception as e:
print(f"Error: {e}")
PYEOFRepository: flixOpt/flixopt
Length of output: 145
Remove output redirection or add explicit error handling; the data generation script is missing and failures are hidden.
The script data/generate_example_systems.py does not exist in the repository. When the command runs and fails, the > /dev/null 2>&1 redirection hides the error completely, leaving users unaware that the setup step failed. The cell's null execution_count suggests it may never have executed successfully.
Either:
- Remove the redirection to surface errors:
!python data/generate_example_systems.py(or confirm if this script is expected to exist) - Or wrap in Python with explicit error handling:
import subprocess; result = subprocess.run(...); result.check_returncode()
🤖 Prompt for AI Agents
In docs/notebooks/09-plotting-and-data-access.ipynb lines 66-68 the notebook
cell runs a non-existent script with output redirected to /dev/null which hides
failures; update the cell to either (a) remove the redirection so errors are
visible and confirm the script path/name is correct, or (b) replace the shell
invocation with a short Python wrapper that runs the script via subprocess.run
and calls check_returncode() to raise on failure so the notebook surfaces
errors; ensure the cell is executed and execution_count is set after
verification.
1 participant
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