backend #43
backend #43
Conversation
WalkthroughThis update introduces a complete web application for simulating the hypothetical profit from planting a banana tree at birth. It adds backend simulation logic (with two variants), two Flask API servers, a fully designed interactive frontend, and comprehensive project documentation. Supporting files and assets are also included. Changes
Sequence Diagram(s)User Flow: Frontend to Simulation APIsequenceDiagram
participant User
participant Browser (index.html)
participant Flask API (app.py/app2.py)
participant Simulation Module (Simulation.py/simulation2.py)
User->>Browser (index.html): Fill form & submit DOB
Browser->>Flask API: GET /simulate?date=YYYY-MM-DD
Flask API->>Simulation Module: simulate_growth(date)
Simulation Module-->>Flask API: Simulation result (profit, history)
Flask API-->>Browser: JSON response
Browser-->>User: Display personalized profit result
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Poem
Note ⚡️ Unit Test Generation is now available in beta!Learn more here, or try it out under "Finishing Touches" below. ✨ Finishing Touches🧪 Generate unit tests
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Actionable comments posted: 2
🧹 Nitpick comments (4)
README.md (1)
4-14: Replace remaining placeholders and ensure naming consistencyThe team name and member list were updated, but the rest of the README still contains placeholder sections (“[Project Name]”, “[Languages used]”, etc.). Readers may assume the project is incomplete.
Consider filling in (or removing) the remaining placeholders before merging to avoid confusion.
userpage.html (3)
74-81: Remove duplicated@keyframes spinrule
@keyframes spinis declared twice (Lines 74-77 and 78-81). The second declaration is redundant and may confuse future maintainers or be overwritten by tools that merge CSS.-@keyframes spin { - 0% { transform: rotate(0deg); } - 100% { transform: rotate(360deg); } -}
180-183: Reset results when restarting
restart()resets the form but leaves the previous result message visible until the next prediction runs.function restart(){ goToPage(1); document.getElementById("userForm").reset(); + document.getElementById("resultMessage").textContent = ""; }
121-121: Align team brandingDisplayed as “Tech No Logic” here but “techNOLOGIC” in README. Use a single canonical spelling to look professional.
userpage.html
Outdated
| const response = await fetch(`http://10.14.182.194:5000/simulate?date=${dob}`); | ||
| const data = await response.json(); | ||
| const finalCycle = data.history[data.history.length - 1]; |
There was a problem hiding this comment.
Avoid hard-coded, insecure backend URL
Calling a fixed IP (http://10.14.182.194:5000) breaks when the app is deployed elsewhere and forces plaintext HTTP.
-const response = await fetch(`http://10.14.182.194:5000/simulate?date=${dob}`);
+const base = window.location.origin; // works on localhost & prod
+const response = await fetch(`${base}/simulate?date=${encodeURIComponent(dob)}`);📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| const response = await fetch(`http://10.14.182.194:5000/simulate?date=${dob}`); | |
| const data = await response.json(); | |
| const finalCycle = data.history[data.history.length - 1]; | |
| const base = window.location.origin; // works on localhost & prod | |
| const response = await fetch( | |
| `${base}/simulate?date=${encodeURIComponent(dob)}` | |
| ); | |
| const data = await response.json(); | |
| const finalCycle = data.history[data.history.length - 1]; |
🤖 Prompt for AI Agents
In userpage.html around lines 163 to 165, the backend URL is hard-coded with an
IP address and uses HTTP, which is insecure and not flexible for different
deployment environments. Replace the fixed URL with a configurable environment
variable or relative path that adapts to the deployment context, and ensure the
URL uses HTTPS to secure the connection.
userpage.html
Outdated
| document.getElementById("resultMessage").innerHTML = | ||
| `Hey <strong>${name}</strong>,<br><br> | ||
| If your parents had planted a tree instead of you when you were born,<br> | ||
| They would have an estimated amount of <strong>₹${finalCycle.Total_Profit}</strong> 😅`; | ||
| } catch (err) { |
There was a problem hiding this comment.
DOM-XSS: user-supplied name is injected via innerHTML
If someone enters <img src=x onerror=alert(1)> as their name, it will execute when the results page renders.
Sanitise or insert via textContent:
- document.getElementById("resultMessage").innerHTML =
- `Hey <strong>${name}</strong>,<br><br>
- If your parents had planted a tree instead of you when you were born,<br>
- They would have an estimated amount of <strong>₹${finalCycle.Total_Profit}</strong> 😅`;
+const resultEl = document.getElementById("resultMessage");
+resultEl.innerHTML =
+ `If your parents had planted a tree instead of you when you were born,<br>
+ They would have an estimated amount of <strong>₹${finalCycle.Total_Profit}</strong> 😅`;
+const strongName = document.createElement("strong");
+strongName.textContent = name; // escapes HTML
+resultEl.prepend("Hey ", strongName, ",", document.createElement("br"), document.createElement("br"));📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| document.getElementById("resultMessage").innerHTML = | |
| `Hey <strong>${name}</strong>,<br><br> | |
| If your parents had planted a tree instead of you when you were born,<br> | |
| They would have an estimated amount of <strong>₹${finalCycle.Total_Profit}</strong> 😅`; | |
| } catch (err) { | |
| const resultEl = document.getElementById("resultMessage"); | |
| resultEl.innerHTML = | |
| `If your parents had planted a tree instead of you when you were born,<br> | |
| They would have an estimated amount of <strong>₹${finalCycle.Total_Profit}</strong> 😅`; | |
| const strongName = document.createElement("strong"); | |
| strongName.textContent = name; // escapes HTML | |
| resultEl.prepend( | |
| "Hey ", | |
| strongName, | |
| ",", | |
| document.createElement("br"), | |
| document.createElement("br") | |
| ); | |
| } catch (err) { |
🤖 Prompt for AI Agents
In userpage.html around lines 166 to 170, the user-supplied variable `name` is
inserted directly into innerHTML, causing a DOM-XSS vulnerability. To fix this,
avoid using innerHTML for user input and instead set the text content of the
element safely by using textContent or by sanitizing the input before insertion.
Modify the code to separate the static HTML from the dynamic user input and
assign the user input using textContent to prevent script execution.
There was a problem hiding this comment.
Actionable comments posted: 8
🧹 Nitpick comments (6)
simulation2.py (1)
7-7: Remove debugging comment.The comment "heyhey" appears to be leftover from development and should be removed.
-#heyheySimulation.py (2)
56-56: Consider consistent return format across simulation modules.This function returns only
historywhilesimulation2.pyreturns{"total_profit": ..., "history": ...}. Consider standardizing the return format.- return history + return { + "total_profit": round(total_profit), + "history": history + }
1-56: Consider consolidating duplicate simulation logic.There's significant code duplication between
Simulation.pyandsimulation2.py. Consider creating a base simulation class or shared utilities to reduce duplication.app2.py (1)
7-7: Consider more restrictive CORS configuration.CORS is currently enabled for all origins. Consider restricting to specific origins for better security.
-CORS(app) +CORS(app, resources={r"/simulate*": {"origins": ["http://localhost:3000", "http://127.0.0.1:5500"]}})app.py (2)
6-6: Consider making CORS origin configurable.The hardcoded localhost origin should be configurable for different environments.
-CORS(app, resources={r"/simulate*": {"origins": "http://127.0.0.1:5500"}}) +import os +allowed_origins = os.getenv('ALLOWED_ORIGINS', 'http://127.0.0.1:5500').split(',') +CORS(app, resources={r"/simulate*": {"origins": allowed_origins}})
1-25: Consider consolidating duplicate Flask applications.There's significant duplication between
app.pyandapp2.py. Consider creating a single configurable Flask app or shared utilities.
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📒 Files selected for processing (4)
Simulation.py(1 hunks)app.py(1 hunks)app2.py(1 hunks)simulation2.py(1 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (2)
app2.py (1)
simulation2.py (1)
simulate_growth(12-65)
app.py (1)
Simulation.py (1)
simulate_growth(11-56)
🪛 ast-grep (0.38.6)
app2.py
[warning] 26-26: Running flask app with host 0.0.0.0 could expose the server publicly.
Context: app.run(debug=True, host="0.0.0.0", port=5000)
Note: [CWE-668]: Exposure of Resource to Wrong Sphere [OWASP A01:2021]: Broken Access Control [REFERENCES]
https://owasp.org/Top10/A01_2021-Broken_Access_Control
(avoid_app_run_with_bad_host-python)
[warning] 26-26: Detected Flask app with debug=True. Do not deploy to production with this flag enabled as it will leak sensitive information. Instead, consider using Flask configuration variables or setting 'debug' using system environment variables.
Context: app.run(debug=True, host="0.0.0.0", port=5000)
Note: [CWE-489] Active Debug Code. [REFERENCES]
- https://labs.detectify.com/2015/10/02/how-patreon-got-hacked-publicly-exposed-werkzeug-debugger/
(debug-enabled-python)
app.py
[warning] 24-24: Running flask app with host 0.0.0.0 could expose the server publicly.
Context: app.run(debug=True, host="0.0.0.0", port=5000)
Note: [CWE-668]: Exposure of Resource to Wrong Sphere [OWASP A01:2021]: Broken Access Control [REFERENCES]
https://owasp.org/Top10/A01_2021-Broken_Access_Control
(avoid_app_run_with_bad_host-python)
[warning] 24-24: Detected Flask app with debug=True. Do not deploy to production with this flag enabled as it will leak sensitive information. Instead, consider using Flask configuration variables or setting 'debug' using system environment variables.
Context: app.run(debug=True, host="0.0.0.0", port=5000)
Note: [CWE-489] Active Debug Code. [REFERENCES]
- https://labs.detectify.com/2015/10/02/how-patreon-got-hacked-publicly-exposed-werkzeug-debugger/
(debug-enabled-python)
🔇 Additional comments (3)
app2.py (2)
27-27: Address security concerns for production deployment.The static analysis correctly identifies security risks with
debug=Trueandhost="0.0.0.0"in production.For development, this is acceptable, but ensure these settings are changed for production:
if __name__ == "__main__": - app.run(debug=True, host="0.0.0.0", port=5000) + import os + debug_mode = os.getenv('FLASK_DEBUG', 'False').lower() == 'true' + host = os.getenv('FLASK_HOST', '127.0.0.1') + port = int(os.getenv('FLASK_PORT', 5000)) + app.run(debug=debug_mode, host=host, port=port)
19-24: Good exception handling implementation.The try-catch block with logging and proper HTTP status codes is well implemented.
app.py (1)
25-25: Same security concerns as app2.py.Apply the same security improvements recommended for app2.py.
if __name__ == "__main__": - app.run(debug=True, host="0.0.0.0", port=5000) + import os + debug_mode = os.getenv('FLASK_DEBUG', 'False').lower() == 'true' + host = os.getenv('FLASK_HOST', '127.0.0.1') + port = int(os.getenv('FLASK_PORT', 5000)) + app.run(debug=debug_mode, host=host, port=port)
| if not start_date: | ||
| return jsonify({"error": "Missing date parameter"}), 400 | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add the same input validation as in app2.py.
Consider adding date format validation for consistency with app2.py.
def simulate():
start_date = request.args.get('date')
if not start_date:
return jsonify({"error": "Missing date parameter"}), 400
+
+ try:
+ from datetime import datetime
+ datetime.strptime(start_date, "%Y-%m-%d")
+ except ValueError:
+ return jsonify({"error": "Invalid date format. Use YYYY-MM-DD"}), 400📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| if not start_date: | |
| return jsonify({"error": "Missing date parameter"}), 400 | |
| def simulate(): | |
| start_date = request.args.get('date') | |
| if not start_date: | |
| return jsonify({"error": "Missing date parameter"}), 400 | |
| try: | |
| from datetime import datetime | |
| datetime.strptime(start_date, "%Y-%m-%d") | |
| except ValueError: | |
| return jsonify({"error": "Invalid date format. Use YYYY-MM-DD"}), 400 | |
| # …rest of simulate()… |
🤖 Prompt for AI Agents
In app.py around lines 15 to 17, the code checks for the presence of start_date
but lacks validation for the date format. To fix this, add input validation that
verifies the start_date matches the expected date format, similar to the
validation implemented in app2.py. This ensures consistent handling of date
inputs and prevents invalid date formats from proceeding.
| start_date = request.args.get('date') | ||
| if not start_date: | ||
| return jsonify({"error": "Missing date parameter"}), 400 |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add input validation for date parameter.
Currently only checks if the date parameter exists. Consider validating the date format to provide better error messages.
def simulate_route():
start_date = request.args.get('date')
if not start_date:
return jsonify({"error": "Missing date parameter"}), 400
+
+ # Validate date format
+ try:
+ datetime.strptime(start_date, "%Y-%m-%d")
+ except ValueError:
+ return jsonify({"error": "Invalid date format. Use YYYY-MM-DD"}), 400📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| start_date = request.args.get('date') | |
| if not start_date: | |
| return jsonify({"error": "Missing date parameter"}), 400 | |
| def simulate_route(): | |
| start_date = request.args.get('date') | |
| if not start_date: | |
| return jsonify({"error": "Missing date parameter"}), 400 | |
| # Validate date format | |
| try: | |
| datetime.strptime(start_date, "%Y-%m-%d") | |
| except ValueError: | |
| return jsonify({"error": "Invalid date format. Use YYYY-MM-DD"}), 400 | |
| # …rest of simulate_route… |
🤖 Prompt for AI Agents
In app2.py around lines 15 to 17, the code only checks for the presence of the
'date' parameter but does not validate its format. Add validation to ensure the
'date' parameter matches the expected date format (e.g., YYYY-MM-DD). If the
format is invalid, return a clear error message with a 400 status code. Use a
date parsing method or regex to validate the format before proceeding.
| CYCLE_MONTHS = 12 | ||
|
|
||
| # Load your data once | ||
| DATA = pd.read_csv('C:/Users/Niranjan S/Useless Projects/Data Models/banana_growth_kerala_updated.csv') |
There was a problem hiding this comment.
Replace hardcoded file path with configurable path.
Same issue as in simulation2.py - hardcoded absolute paths make the code non-portable.
-DATA = pd.read_csv('C:/Users/Niranjan S/Useless Projects/Data Models/banana_growth_kerala_updated.csv')
+import os
+
+DATA_DIR = os.getenv('DATA_DIR', 'data')
+DATA = pd.read_csv(os.path.join(DATA_DIR, 'banana_growth_kerala_updated.csv'))📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| DATA = pd.read_csv('C:/Users/Niranjan S/Useless Projects/Data Models/banana_growth_kerala_updated.csv') | |
| import os | |
| DATA_DIR = os.getenv('DATA_DIR', 'data') | |
| DATA = pd.read_csv(os.path.join(DATA_DIR, 'banana_growth_kerala_updated.csv')) |
🤖 Prompt for AI Agents
In Simulation.py at line 9, the file path for reading the CSV is hardcoded as an
absolute path, which reduces portability. Modify the code to accept the file
path as a configurable parameter, such as a function argument, environment
variable, or configuration file entry, instead of hardcoding it. This will allow
the path to be set dynamically depending on the environment where the code runs.
| }) | ||
|
|
||
| current_trees = new_trees | ||
| date += timedelta(days=30 * CYCLE_MONTHS) |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Use accurate date arithmetic.
Same issue as simulation2.py - inaccurate month calculation.
- date += timedelta(days=30 * CYCLE_MONTHS)
+ # Use proper month arithmetic
+ from dateutil.relativedelta import relativedelta
+ date += relativedelta(months=1)Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In Simulation.py at line 54, the current date arithmetic adds 30 days multiplied
by CYCLE_MONTHS, which inaccurately represents months. Replace this with a more
precise method to add months to the date, such as using a date utility or
library function that correctly handles varying month lengths and leap years.
| BANANA_DATA = pd.read_csv("C:/Users/Niranjan S/Useless Projects/Data Models/banana_growth_kerala_1990_2025_monthly_YM.csv") | ||
| CHILD_COST_DATA = pd.read_csv("C:/Users/Niranjan S/Useless Projects/Data Models/child_lifecycle_cost_simulation.csv") |
There was a problem hiding this comment.
Replace hardcoded file paths with configurable paths.
The hardcoded absolute paths make the code non-portable and will fail in different environments or deployments.
-BANANA_DATA = pd.read_csv("C:/Users/Niranjan S/Useless Projects/Data Models/banana_growth_kerala_1990_2025_monthly_YM.csv")
-CHILD_COST_DATA = pd.read_csv("C:/Users/Niranjan S/Useless Projects/Data Models/child_lifecycle_cost_simulation.csv")
+import os
+
+# Use environment variables or relative paths
+DATA_DIR = os.getenv('DATA_DIR', 'data')
+BANANA_DATA = pd.read_csv(os.path.join(DATA_DIR, "banana_growth_kerala_1990_2025_monthly_YM.csv"))
+CHILD_COST_DATA = pd.read_csv(os.path.join(DATA_DIR, "child_lifecycle_cost_simulation.csv"))📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| BANANA_DATA = pd.read_csv("C:/Users/Niranjan S/Useless Projects/Data Models/banana_growth_kerala_1990_2025_monthly_YM.csv") | |
| CHILD_COST_DATA = pd.read_csv("C:/Users/Niranjan S/Useless Projects/Data Models/child_lifecycle_cost_simulation.csv") | |
| import os | |
| # Use environment variables or relative paths | |
| DATA_DIR = os.getenv('DATA_DIR', 'data') | |
| BANANA_DATA = pd.read_csv(os.path.join(DATA_DIR, "banana_growth_kerala_1990_2025_monthly_YM.csv")) | |
| CHILD_COST_DATA = pd.read_csv(os.path.join(DATA_DIR, "child_lifecycle_cost_simulation.csv")) |
🤖 Prompt for AI Agents
In simulation2.py around lines 9 to 10, the file paths for reading CSV files are
hardcoded as absolute paths, which reduces portability. Replace these hardcoded
paths with configurable variables or parameters, such as using environment
variables, configuration files, or command-line arguments, so the file locations
can be easily changed without modifying the code.
|
|
||
| income = current_trees * yield_kg * price | ||
| fertilizer_cost = current_trees * fertilizer_kg * FERTILIZER_COST_PER_KG | ||
| child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0] |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling for missing child cost data.
The code assumes child cost data exists for the given age but doesn't handle the case where the lookup fails.
- child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0]
+ child_cost_rows = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values
+ if len(child_cost_rows) == 0:
+ child_cost = 0 # or handle appropriately
+ else:
+ child_cost = child_cost_rows[0]📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0] | |
| child_cost_rows = CHILD_COST_DATA.loc[ | |
| CHILD_COST_DATA["Age"] == age, | |
| "Yearly_Expenditure_INR" | |
| ].values | |
| if len(child_cost_rows) == 0: | |
| child_cost = 0 # or handle appropriately | |
| else: | |
| child_cost = child_cost_rows[0] |
🤖 Prompt for AI Agents
In simulation2.py at line 38, the code retrieves child cost data for a given age
without checking if the data exists, which can cause errors if the lookup fails.
Add error handling to verify that the lookup returns a valid result before
accessing the value. If no data is found for the age, handle this case
gracefully by either setting a default value or raising a clear exception with
an informative message.
|
|
||
| current_trees = new_trees | ||
| age += 1 | ||
| date += timedelta(days=30 * CYCLE_MONTHS) |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Use more accurate date arithmetic.
Using timedelta(days=30 * CYCLE_MONTHS) assumes all months have 30 days, which is inaccurate and could cause data misalignment.
- date += timedelta(days=30 * CYCLE_MONTHS)
+ # Add months more accurately
+ if date.month == 12:
+ date = date.replace(year=date.year + 1, month=1)
+ else:
+ date = date.replace(month=date.month + 1)Or use the dateutil library for proper month arithmetic:
# At the top of the file
from dateutil.relativedelta import relativedelta
# In the loop
date += relativedelta(months=1)🤖 Prompt for AI Agents
In simulation2.py at line 60, replace the current date increment using
timedelta(days=30 * CYCLE_MONTHS) with a more accurate month increment using
dateutil's relativedelta. Import relativedelta from dateutil.relativedelta at
the top of the file, then update the date by adding
relativedelta(months=CYCLE_MONTHS) instead of using a fixed 30-day increment to
handle varying month lengths correctly.
There was a problem hiding this comment.
Actionable comments posted: 3
♻️ Duplicate comments (3)
simulation2.py (3)
10-11: Replace hardcoded file paths with configurable paths.The hardcoded absolute paths make the code non-portable and will fail in different environments or deployments.
39-39: Add error handling for missing child cost data.The code assumes child cost data exists for the given age but doesn't handle the case where the lookup fails.
61-61: Use more accurate date arithmetic.Using
timedelta(days=30 * CYCLE_MONTHS)assumes all months have 30 days, which is inaccurate and could cause data misalignment.
🧹 Nitpick comments (1)
simulation2.py (1)
8-8: Remove unprofessional comment.The comment "#heyhey" should be removed or replaced with meaningful documentation.
-#heyhey
| CHILD_COST_DATA = pd.read_csv("C:/Users/Niranjan S/Useless Projects/Data Models/child_lifecycle_cost_simulation.csv") | ||
|
|
||
| def simulate_growth(start_date_str): | ||
| planting_date = datetime.strptime(start_date_str, "%Y-%m-%d") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add input validation for date string.
The function should validate the date format to prevent crashes from invalid input.
def simulate_growth(start_date_str):
+ try:
planting_date = datetime.strptime(start_date_str, "%Y-%m-%d")
+ except ValueError:
+ raise ValueError(f"Invalid date format: {start_date_str}. Expected format: YYYY-MM-DD")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| planting_date = datetime.strptime(start_date_str, "%Y-%m-%d") | |
| def simulate_growth(start_date_str): | |
| try: | |
| planting_date = datetime.strptime(start_date_str, "%Y-%m-%d") | |
| except ValueError: | |
| raise ValueError(f"Invalid date format: {start_date_str}. Expected format: YYYY-MM-DD") |
🤖 Prompt for AI Agents
In simulation2.py at line 14, the code parses a date string without validating
its format, which can cause crashes if the input is invalid. Add input
validation by checking if the date string matches the expected format before
parsing, or use a try-except block around datetime.strptime to catch and handle
parsing errors gracefully.
| child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0] | ||
| profit = income - fertilizer_cost - child_cost |
There was a problem hiding this comment.
Fix yearly cost being applied to monthly cycles.
The child cost data appears to be yearly (Yearly_Expenditure_INR) but is being subtracted from monthly profit calculations. This overstates costs by 12x.
- child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0]
+ yearly_child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0]
+ child_cost = yearly_child_cost / 12 # Convert to monthly cost📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0] | |
| profit = income - fertilizer_cost - child_cost | |
| yearly_child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0] | |
| child_cost = yearly_child_cost / 12 # Convert to monthly cost | |
| profit = income - fertilizer_cost - child_cost |
🤖 Prompt for AI Agents
In simulation2.py around lines 39 to 40, the child cost is taken as a yearly
value but subtracted directly from monthly profit, overstating costs. To fix
this, divide the yearly child cost by 12 before subtracting it from the monthly
profit calculation to correctly reflect monthly expenses.
simulation2.py
Outdated
| suckers_generated = int(current_trees * suckers) | ||
| saplings_from_profit = int(profit // SAPLING_COST) | ||
| new_trees = suckers_generated + saplings_from_profit | ||
| total_profit = random.randint(1000000, 9999999) |
There was a problem hiding this comment.
Critical: Remove random profit assignment that breaks simulation logic.
The simulation's profit calculations are rendered meaningless by assigning a random value to total_profit. This should accumulate the actual profits from each cycle.
- total_profit = random.randint(1000000, 9999999)
+ total_profit += profit📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| total_profit = random.randint(1000000, 9999999) | |
| total_profit += profit |
🤖 Prompt for AI Agents
In simulation2.py at line 45, remove the assignment of a random value to
total_profit as it overrides the actual profit calculations. Instead, ensure
total_profit is calculated by accumulating the profits from each simulation
cycle to maintain correct simulation logic.
There was a problem hiding this comment.
Actionable comments posted: 1
🔭 Outside diff range comments (1)
README.md (1)
16-22: Complete the project description sections.The README contains placeholder text that should be replaced with actual project information to provide meaningful documentation.
Replace the placeholder sections with actual project details:
-[2-3 lines about what your project does] +A web application that predicts banana plantation profitability using historical data and child lifecycle costs. Users input planting dates to receive detailed profit projections and growth simulations. -[What ridiculous problem are you solving?] +The complex challenge of predicting long-term banana plantation returns while accounting for child-rearing costs in agricultural families. -[How are you solving it? Keep it fun!] +By combining historical banana yield data, market prices, and child lifecycle expenses into an interactive web simulation that nobody asked for but everyone secretly needs!
♻️ Duplicate comments (4)
app.py (1)
15-17: Add input validation for date format.The code checks for the presence of start_date but lacks validation for the date format, which could cause crashes from invalid input.
Consider adding date format validation:
def simulate_route(): start_date = request.args.get('date') if not start_date: return jsonify({"error": "Missing date parameter"}), 400 + + try: + from datetime import datetime + datetime.strptime(start_date, "%Y-%m-%d") + except ValueError: + return jsonify({"error": "Invalid date format. Use YYYY-MM-DD"}), 400simulation2.py (3)
10-11: Replace hardcoded file paths with configurable paths.The hardcoded absolute paths make the code non-portable and will fail in different environments or deployments.
Use environment variables or relative paths:
-BANANA_DATA = pd.read_csv("C:/Users/Niranjan S/Useless Projects/Data Models/banana_growth_kerala_1990_2025_monthly_YM.csv") -CHILD_COST_DATA = pd.read_csv("C:/Users/Niranjan S/Useless Projects/Data Models/child_lifecycle_cost_simulation.csv") +import os + +# Use environment variables or relative paths +DATA_DIR = os.getenv('DATA_DIR', 'data') +BANANA_DATA = pd.read_csv(os.path.join(DATA_DIR, "banana_growth_kerala_1990_2025_monthly_YM.csv")) +CHILD_COST_DATA = pd.read_csv(os.path.join(DATA_DIR, "child_lifecycle_cost_simulation.csv"))
41-41: Critical: Remove random profit assignment that breaks simulation logic.The simulation's profit calculations are rendered meaningless by assigning a random value to
total_profit. This completely undermines the purpose of the simulation.- total_profit = random.randint(10000000, 99999999) + total_profit += profit
38-39: Fix yearly cost being applied to monthly cycles.The child cost data appears to be yearly (
Yearly_Expenditure_INR) but is being subtracted from monthly profit calculations, overstating costs by 12x.- child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0] + yearly_child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0] + child_cost = yearly_child_cost / 12 # Convert to monthly cost
🧹 Nitpick comments (2)
README.md (2)
43-43: Fix markdown heading level increment.The heading structure violates markdown conventions by jumping from h1 to h3, skipping h2.
-### Project Documentation +## Project Documentation
47-47: Add alt text for accessibility.The image is missing alt text, which impacts accessibility for screen readers.
-<img src="Screenshot 2025-08-02 160801.png" /> +<img src="Screenshot 2025-08-02 160801.png" alt="Screenshot of the banana profit prediction interface" />
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (3)
Screenshot 2025-08-02 160801.pngis excluded by!**/*.png__pycache__/Simulation.cpython-312.pycis excluded by!**/*.pyc__pycache__/simulation2.cpython-312.pycis excluded by!**/*.pyc
📒 Files selected for processing (6)
README.md(2 hunks)Simulation.py(1 hunks)app.py(1 hunks)simulation2.py(1 hunks)tempCodeRunnerFile.py(1 hunks)userpage.html(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- Simulation.py
- userpage.html
🧰 Additional context used
🪛 Ruff (0.12.2)
tempCodeRunnerFile.py
2-2: Undefined name datetime
(F821)
3-3: Undefined name datetime
(F821)
15-15: Undefined name BANANA_DATA
(F821)
15-15: Undefined name BANANA_DATA
(F821)
15-15: Undefined name BANANA_DATA
(F821)
16-16: Undefined name CHILD_COST_DATA
(F821)
26-26: Undefined name FERTILIZER_COST_PER_KG
(F821)
27-27: Undefined name CHILD_COST_DATA
(F821)
27-27: Undefined name CHILD_COST_DATA
(F821)
31-31: Undefined name SAPLING_COST
(F821)
49-49: Undefined name timedelta
(F821)
49-49: Undefined name CYCLE_MONTHS
(F821)
🪛 markdownlint-cli2 (0.17.2)
README.md
43-43: Heading levels should only increment by one level at a time
Expected: h2; Actual: h3
(MD001, heading-increment)
47-47: Images should have alternate text (alt text)
(MD045, no-alt-text)
🪛 ast-grep (0.38.6)
app.py
[warning] 26-26: Detected Flask app with debug=True. Do not deploy to production with this flag enabled as it will leak sensitive information. Instead, consider using Flask configuration variables or setting 'debug' using system environment variables.
Context: app.run(debug=True, host="0.0.0.0", port=5000)
Note: [CWE-489] Active Debug Code. [REFERENCES]
- https://labs.detectify.com/2015/10/02/how-patreon-got-hacked-publicly-exposed-werkzeug-debugger/
(debug-enabled-python)
[warning] 26-26: Running flask app with host 0.0.0.0 could expose the server publicly.
Context: app.run(debug=True, host="0.0.0.0", port=5000)
Note: [CWE-668]: Exposure of Resource to Wrong Sphere [OWASP A01:2021]: Broken Access Control [REFERENCES]
https://owasp.org/Top10/A01_2021-Broken_Access_Control
(avoid_app_run_with_bad_host-python)
🔇 Additional comments (1)
app.py (1)
27-27: Configure debug mode and host binding for production safety.Running with
debug=Trueandhost="0.0.0.0"poses security risks in production environments as it can leak sensitive information and expose the server publicly.Consider using environment variables to control these settings:
+import os + if __name__ == "__main__": - app.run(debug=True, host="0.0.0.0", port=5000) + debug_mode = os.getenv('FLASK_DEBUG', 'False').lower() == 'true' + host = os.getenv('FLASK_HOST', '127.0.0.1') + port = int(os.getenv('FLASK_PORT', 5000)) + app.run(debug=debug_mode, host=host, port=port)
| def simulate_growth(start_date_str): | ||
| planting_date = datetime.strptime(start_date_str, "%Y-%m-%d") | ||
| current_date = datetime.today() | ||
|
|
||
| date = planting_date | ||
| current_trees = 1 | ||
| total_profit = 0 | ||
| age = 0 | ||
| history = [] | ||
|
|
||
| while date <= current_date: | ||
| year = date.year | ||
| month = date.month | ||
|
|
||
| row = BANANA_DATA[(BANANA_DATA["Year"] == year) & (BANANA_DATA["Month"] == month)] | ||
| if row.empty or age >= len(CHILD_COST_DATA): | ||
| break | ||
|
|
||
| row = row.iloc[0] | ||
| yield_kg = row["Yield_per_Tree_kg"] | ||
| price = row["Market_Price_per_kg"] | ||
| fertilizer_kg = row["Fertilizer_Used_kg"] | ||
| suckers = row["Suckers_per_Tree"] | ||
|
|
||
| income = current_trees * yield_kg * price | ||
| fertilizer_cost = current_trees * fertilizer_kg * FERTILIZER_COST_PER_KG | ||
| child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0] | ||
| profit = income - fertilizer_cost - child_cost | ||
|
|
||
| suckers_generated = int(current_trees * suckers) | ||
| saplings_from_profit = int(profit // SAPLING_COST) | ||
| new_trees = suckers_generated + saplings_from_profit | ||
| total_profit += profit | ||
|
|
||
| history.append({ | ||
| "Cycle": date.strftime("%Y-%m"), | ||
| "Age": age, | ||
| "Trees": current_trees, | ||
| "Income": round(income), | ||
| "Fert_Cost": round(fertilizer_cost), | ||
| "Child_Cost": round(child_cost), | ||
| "Profit": round(profit), | ||
| "Total_Profit": round(total_profit), | ||
| "New_Trees": new_trees | ||
| }) | ||
|
|
||
| current_trees = new_trees | ||
| age += 1 | ||
| date += timedelta(days=30 * CYCLE_MONTHS) | ||
|
|
||
| return { | ||
| "total_profit": round(total_profit), | ||
| "history": history | ||
| } |
There was a problem hiding this comment.
Add missing imports and data definitions.
The function uses several undefined variables that would cause runtime errors. All imports and data loading statements are missing.
Add the following imports and data definitions at the beginning of the file:
+import pandas as pd
+from datetime import datetime, timedelta
+
+# Constants
+SAPLING_COST = 50
+FERTILIZER_COST_PER_KG = 0.5
+CYCLE_MONTHS = 1 # Based on monthly iteration
+
+# Load data (adjust paths as needed)
+BANANA_DATA = pd.read_csv("path/to/banana_growth_kerala_1990_2025_monthly_YM.csv")
+CHILD_COST_DATA = pd.read_csv("path/to/child_lifecycle_cost_simulation.csv")
+
def simulate_growth(start_date_str):📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| def simulate_growth(start_date_str): | |
| planting_date = datetime.strptime(start_date_str, "%Y-%m-%d") | |
| current_date = datetime.today() | |
| date = planting_date | |
| current_trees = 1 | |
| total_profit = 0 | |
| age = 0 | |
| history = [] | |
| while date <= current_date: | |
| year = date.year | |
| month = date.month | |
| row = BANANA_DATA[(BANANA_DATA["Year"] == year) & (BANANA_DATA["Month"] == month)] | |
| if row.empty or age >= len(CHILD_COST_DATA): | |
| break | |
| row = row.iloc[0] | |
| yield_kg = row["Yield_per_Tree_kg"] | |
| price = row["Market_Price_per_kg"] | |
| fertilizer_kg = row["Fertilizer_Used_kg"] | |
| suckers = row["Suckers_per_Tree"] | |
| income = current_trees * yield_kg * price | |
| fertilizer_cost = current_trees * fertilizer_kg * FERTILIZER_COST_PER_KG | |
| child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0] | |
| profit = income - fertilizer_cost - child_cost | |
| suckers_generated = int(current_trees * suckers) | |
| saplings_from_profit = int(profit // SAPLING_COST) | |
| new_trees = suckers_generated + saplings_from_profit | |
| total_profit += profit | |
| history.append({ | |
| "Cycle": date.strftime("%Y-%m"), | |
| "Age": age, | |
| "Trees": current_trees, | |
| "Income": round(income), | |
| "Fert_Cost": round(fertilizer_cost), | |
| "Child_Cost": round(child_cost), | |
| "Profit": round(profit), | |
| "Total_Profit": round(total_profit), | |
| "New_Trees": new_trees | |
| }) | |
| current_trees = new_trees | |
| age += 1 | |
| date += timedelta(days=30 * CYCLE_MONTHS) | |
| return { | |
| "total_profit": round(total_profit), | |
| "history": history | |
| } | |
| import pandas as pd | |
| from datetime import datetime, timedelta | |
| # Constants | |
| SAPLING_COST = 50 | |
| FERTILIZER_COST_PER_KG = 0.5 | |
| CYCLE_MONTHS = 1 # Based on monthly iteration | |
| # Load data (adjust paths as needed) | |
| BANANA_DATA = pd.read_csv("path/to/banana_growth_kerala_1990_2025_monthly_YM.csv") | |
| CHILD_COST_DATA = pd.read_csv("path/to/child_lifecycle_cost_simulation.csv") | |
| def simulate_growth(start_date_str): | |
| planting_date = datetime.strptime(start_date_str, "%Y-%m-%d") | |
| current_date = datetime.today() | |
| date = planting_date | |
| current_trees = 1 | |
| total_profit = 0 | |
| age = 0 | |
| history = [] | |
| while date <= current_date: | |
| year = date.year | |
| month = date.month | |
| row = BANANA_DATA[(BANANA_DATA["Year"] == year) & (BANANA_DATA["Month"] == month)] | |
| if row.empty or age >= len(CHILD_COST_DATA): | |
| break | |
| row = row.iloc[0] | |
| yield_kg = row["Yield_per_Tree_kg"] | |
| price = row["Market_Price_per_kg"] | |
| fertilizer_kg = row["Fertilizer_Used_kg"] | |
| suckers = row["Suckers_per_Tree"] | |
| income = current_trees * yield_kg * price | |
| fertilizer_cost = current_trees * fertilizer_kg * FERTILIZER_COST_PER_KG | |
| child_cost = CHILD_COST_DATA.loc[CHILD_COST_DATA["Age"] == age, "Yearly_Expenditure_INR"].values[0] | |
| profit = income - fertilizer_cost - child_cost | |
| suckers_generated = int(current_trees * suckers) | |
| saplings_from_profit = int(profit // SAPLING_COST) | |
| new_trees = suckers_generated + saplings_from_profit | |
| total_profit += profit | |
| history.append({ | |
| "Cycle": date.strftime("%Y-%m"), | |
| "Age": age, | |
| "Trees": current_trees, | |
| "Income": round(income), | |
| "Fert_Cost": round(fertilizer_cost), | |
| "Child_Cost": round(child_cost), | |
| "Profit": round(profit), | |
| "Total_Profit": round(total_profit), | |
| "New_Trees": new_trees | |
| }) | |
| current_trees = new_trees | |
| age += 1 | |
| date += timedelta(days=30 * CYCLE_MONTHS) | |
| return { | |
| "total_profit": round(total_profit), | |
| "history": history | |
| } |
🧰 Tools
🪛 Ruff (0.12.2)
2-2: Undefined name datetime
(F821)
3-3: Undefined name datetime
(F821)
15-15: Undefined name BANANA_DATA
(F821)
15-15: Undefined name BANANA_DATA
(F821)
15-15: Undefined name BANANA_DATA
(F821)
16-16: Undefined name CHILD_COST_DATA
(F821)
26-26: Undefined name FERTILIZER_COST_PER_KG
(F821)
27-27: Undefined name CHILD_COST_DATA
(F821)
27-27: Undefined name CHILD_COST_DATA
(F821)
31-31: Undefined name SAPLING_COST
(F821)
49-49: Undefined name timedelta
(F821)
49-49: Undefined name CYCLE_MONTHS
(F821)
🤖 Prompt for AI Agents
In tempCodeRunnerFile.py lines 1 to 54, the function simulate_growth uses
undefined variables like datetime, timedelta, BANANA_DATA, CHILD_COST_DATA,
FERTILIZER_COST_PER_KG, SAPLING_COST, and CYCLE_MONTHS, which will cause runtime
errors. To fix this, add the necessary import statements for datetime and
timedelta from the datetime module, and define or load the BANANA_DATA and
CHILD_COST_DATA data structures before the function. Also, define the constants
FERTILIZER_COST_PER_KG, SAPLING_COST, and CYCLE_MONTHS with appropriate values
at the top of the file.
There was a problem hiding this comment.
Actionable comments posted: 2
🧹 Nitpick comments (3)
index.html (1)
75-82: Remove duplicate@keyframes spindefinitionThe second
@keyframes spinblock entirely duplicates the first (Lines 75-78 vs 79-82). Keeping both increases CSS size and risks maintenance errors if one is edited later.- @keyframes spin { - 0% { transform: rotate(0deg); } - 100% { transform: rotate(360deg); } - }README.md (2)
4-4: Consistent heading style – stick to ATX (“# …”)Line 4 uses an ATX heading (
# …) while the next section (Line 8) drops to###, skipping##. Follow a 1-level increment to improve readability and satisfy linters.-# [Oru Vazha Calculation!] 🎯 +# Oru Vazha Calculation! 🎯(Consider removing the brackets, they are treated literally in Markdown.)
61-66: Add alt text to screenshotsImages without
altattributes violate accessibility guidelines (MD045).-<img src="Screenshot 2025-08-02 160801.png" /> +<img src="Screenshot 2025-08-02 160801.png" alt="Landing page screenshot" /> -<img src="Screenshot 2025-08-02 163913.png"> +<img src="Screenshot 2025-08-02 163913.png" alt="Form page screenshot"> -<img src="Screenshot 2025-08-02 164959.png"> +<img src="Screenshot 2025-08-02 164959.png" alt="Result page screenshot">
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (4)
Recording 2025-08-02 163504.mp4is excluded by!**/*.mp4Screenshot 2025-08-02 163913.pngis excluded by!**/*.pngScreenshot 2025-08-02 164959.pngis excluded by!**/*.png__pycache__/simulation2.cpython-312.pycis excluded by!**/*.pyc
📒 Files selected for processing (3)
README.md(2 hunks)desktop.ini(1 hunks)index.html(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- desktop.ini
🧰 Additional context used
🪛 markdownlint-cli2 (0.17.2)
README.md
20-20: Heading style
Expected: atx; Actual: setext
(MD003, heading-style)
25-25: Heading levels should only increment by one level at a time
Expected: h2; Actual: h3
(MD001, heading-increment)
57-57: Heading levels should only increment by one level at a time
Expected: h2; Actual: h3
(MD001, heading-increment)
61-61: Images should have alternate text (alt text)
(MD045, no-alt-text)
63-63: Images should have alternate text (alt text)
(MD045, no-alt-text)
65-65: Images should have alternate text (alt text)
(MD045, no-alt-text)
102-102: Link and image reference definitions should be needed
Unused link or image reference definition: "sofiya b"
(MD053, link-image-reference-definitions)
🔇 Additional comments (1)
README.md (1)
92-94: Verify video path or host externally
Recording 2025-08-02 163504.mp4is referenced relative to the repository. GitHub does not serve raw video files from README by default; the video will fail to load for viewers.Consider uploading the clip to GitHub Releases, attaching via the Issues/PR, or hosting on an external platform (e.g., Streamable, YouTube) and embedding the public URL instead.
| try { | ||
| const response = await fetch(`http://10.14.182.194:5000/simulate?date=${dob}`); | ||
| const data = await response.json(); | ||
| const finalCycle = data.history[data.history.length - 1]; |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Avoid hard-coded backend IP – use relative or configurable URL
fetch("http://10.14.182.194:5000/simulate?...") bakes a private-network address into the client. This breaks when the page is hosted on a different machine or under HTTPS, and it prevents simple local testing.
- const response = await fetch(`http://10.14.182.194:5000/simulate?date=${dob}`);
+ // Use same-origin by default; allow override via ENV or <meta data-backend>
+ const backend = window.BACKEND_URL || "/simulate";
+ const response = await fetch(`${backend}?date=${encodeURIComponent(dob)}`);If the backend really must live elsewhere, expose the URL via an environment variable or <meta> tag and assign window.BACKEND_URL at runtime. Please verify no other files rely on the hard-coded address.
🏁 Script executed:
#!/bin/bash
# Search for hard-coded backend IP occurrences in the repository
rg '10\.14\.182\.194:5000' -n .Length of output: 154
Configure backend URL instead of hard-coded IP
Only one occurrence of the hard-coded address was found:
- index.html:164
Please replace it with a same-origin or configurable URL. For example:
- const response = await fetch(`http://10.14.182.194:5000/simulate?date=${dob}`);
+ // Default to same-origin; override via ENV or <meta name="backend-url">
+ const backend = window.BACKEND_URL || "/simulate";
+ const response = await fetch(`${backend}?date=${encodeURIComponent(dob)}`);If your backend must run on a different host or port, expose its URL via an environment variable or a <meta> tag and assign it to window.BACKEND_URL at startup.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| try { | |
| const response = await fetch(`http://10.14.182.194:5000/simulate?date=${dob}`); | |
| const data = await response.json(); | |
| const finalCycle = data.history[data.history.length - 1]; | |
| try { | |
| // Default to same-origin; override via ENV or <meta name="backend-url"> | |
| const backend = window.BACKEND_URL || "/simulate"; | |
| const response = await fetch(`${backend}?date=${encodeURIComponent(dob)}`); | |
| const data = await response.json(); | |
| const finalCycle = data.history[data.history.length - 1]; |
🤖 Prompt for AI Agents
In index.html around lines 163 to 166, replace the hard-coded backend URL
"http://10.14.182.194:5000" with a configurable URL. Define the backend URL in a
meta tag or environment variable and assign it to window.BACKEND_URL at startup,
then use window.BACKEND_URL in the fetch call to ensure the backend address is
configurable and not hard-coded.
| document.getElementById("resultMessage").innerHTML = | ||
| `Hey <strong>${name}</strong>,<br><br> | ||
| If your parents had planted a tree instead of you when you were born,<br> | ||
| They would have an estimated amount of <strong>₹${finalCycle.Total_Profit}</strong> 😅`; | ||
| } catch (err) { |
There was a problem hiding this comment.
XSS risk – user input is inserted via innerHTML without sanitisation
name comes straight from an input field and is interpolated into innerHTML. A crafted value like <img src=x onerror=alert(1)> would execute arbitrary JS.
- document.getElementById("resultMessage").innerHTML =
- `Hey <strong>${name}</strong>,<br><br>
- If your parents had planted a tree instead of you when you were born,<br>
- They would have an estimated amount of <strong>₹${finalCycle.Total_Profit}</strong> 😅`;
+ const msgEl = document.getElementById("resultMessage");
+ // Static markup
+ msgEl.innerHTML =
+ `Hey <strong id="userName"></strong>,<br><br>
+ If your parents had planted a tree instead of you when you were born,<br>
+ They would have an estimated amount of <strong>₹${finalCycle.Total_Profit}</strong> 😅`;
+ // Safely inject textContent
+ msgEl.querySelector("#userName").textContent = name;This keeps the desired formatting while neutralising any embedded HTML.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| document.getElementById("resultMessage").innerHTML = | |
| `Hey <strong>${name}</strong>,<br><br> | |
| If your parents had planted a tree instead of you when you were born,<br> | |
| They would have an estimated amount of <strong>₹${finalCycle.Total_Profit}</strong> 😅`; | |
| } catch (err) { | |
| const msgEl = document.getElementById("resultMessage"); | |
| // Static markup | |
| msgEl.innerHTML = | |
| `Hey <strong id="userName"></strong>,<br><br> | |
| If your parents had planted a tree instead of you when you were born,<br> | |
| They would have an estimated amount of <strong>₹${finalCycle.Total_Profit}</strong> 😅`; | |
| // Safely inject user-controlled content | |
| msgEl.querySelector("#userName").textContent = name; |
🤖 Prompt for AI Agents
In index.html around lines 167 to 171, the user input variable 'name' is
directly inserted into innerHTML without sanitization, creating an XSS
vulnerability. To fix this, avoid using innerHTML for inserting user input;
instead, use textContent or properly escape the 'name' value before inserting
it. This preserves the intended formatting while preventing execution of
malicious scripts embedded in the input.
Summary by CodeRabbit
New Features
Documentation