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Based on the screenshots you just sent, I've ident...

Created on: February 20, 2026

Answered using GPT-5.2 Thinking by Chat01

Question

Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt

Based on the screenshots you just sent, I've identified the "invisible" reason your lookups are coming back as "No Data."
Looking closely at your Surface_Lookup and WTA_Surface_Lookup sheets, they are Pivot Tables. Pivot tables in Google Sheets often add "hidden" characters (like non-breaking spaces) to player names or have subtle formatting differences (like dashes vs. spaces) that your current script isn't catching.
To fix this and guarantee it finds every player, we need to make the Normalization much more aggressive.
Step 1: The "Super-Normalizer" Fix
Replace your existing normPlayerKey function (at the bottom of your script) with this one. This version kills hidden Pivot Table characters, handles dashes (like Ramos-Vinolas), and ignores accents.
function normPlayerKey(nm) {
if (!nm) return '';
return String(nm)
.normalize("NFD").replace(/[\u0300-\u036f]/g, "") // Remove accents (e.g., Novak Đoković -> Djokovic)
.replace(/[\u00A0\u1680\u180e\u2000-\u200a\u2028\u2029\u202f\u205f\u3000]/g, " ") // Kill hidden Pivot Table spaces
.toLowerCase()
.replace(/[^a-z0-9\s]/g, ' ') // Turn dashes and dots into spaces (Ramos-Vinolas -> ramos vinolas)
.replace(/\s+/g, ' ') // Collapse multiple spaces into one
.trim();
}

Step 2: Fix the "No Data" Visual Line
Since you mentioned you "don't see much," let's update the visual line in your MATCH_PREVIEW function so it tells us exactly why it's failing (is it the player name missing, or just a blank win rate?).
Find the visual block we added to MATCH_PREVIEW and replace it with this smarter version:
// ==============================================================
// 🎾 VISUAL SIGN: Historical Surface Output (Smarter Debug)
// ==============================================================
try {
var _histA = null, _histB = null;
var _tourScope = tourCode();
if (_tourScope === 'WTA') {
_histA = _getHistoricalSurfaceWinRateWTA(A);
_histB = _getHistoricalSurfaceWinRateWTA(B);
} else {
_histA = _getHistoricalSurfaceWinRateATP(A);
_histB = _getHistoricalSurfaceWinRateATP(B);
}

text
  // Determine what to display based on findings
  var _strA = (Number.isFinite(_histA)) ? (_histA * 100).toFixed(1) + "%" : (_histA === null ? "Player Not Found" : "No % Data");
  var _strB = (Number.isFinite(_histB)) ? (_histB * 100).toFixed(1) + "%" : (_histB === null ? "Player Not Found" : "No % Data");
  
  lines.push("- Hist. Surface (" + surfaceAlias() + "): " + A + " (" + _strA + ") | " + B + " (" + _strB + ")");
} catch(e) {
  lines.push("- Hist. Surface: (Lookup Error)");
}

Step 3: Critical Check - Tab Names
Looking at your screenshots, please double-check your Sheet Tab Names at the bottom of your Google Sheet. If there is even one extra space at the end of the tab name (e.g., "Surface_Lookup "), the script will return "No Data."

  • Ensure the tab is exactly: Surface_Lookup
  • Ensure the WTA tab is exactly: WTA_Surface_Lookup
    Summary of what this solves:
  • Amanda anisimova: Your preview showed her name in lowercase. The new normalizer handles case-mismatches perfectly.
  • Pivot Table "Ghost" Spaces: Pivot tables are famous for adding a space at the end of names to distinguish "Row Labels." The new code strips those out.
  • Jessica Pegula (Double Spaces): Your preview showed two spaces in her name. The new code collapses those so they match your lookup sheet.

Since your data is in Pivot Tables, there are two invisible killers likely causing the "No Data" issue: non-breaking spaces (which Pivot Tables love to add) and accents in player names.
Even a single hidden character or a player name like "Djokovic" vs "Đoković" will cause the script to fail. We need a much more "aggressive" way to match names.
Here are the specific corrections to apply to your script:

  1. The "Super-Normalizer" (Crucial Fix)
    Replace your existing normPlayerKey function (at the bottom of your script) with this version. It wipes out hidden characters, handles accents, and collapses extra spaces.
    function normPlayerKey(name) {
    if (!name) return '';
    return String(name)
    // 1. Remove Accents (e.g., Novak Đoković -> Novak Djokovic)
    .normalize("NFD").replace(/[\u0300-\u036f]/g, "")
    // 2. Kill Pivot Table "Ghost" characters and non-breaking spaces
    .replace(/[\u00A0\u1680\u180e\u2000-\u200a\u2028\u2029\u202f\u205f\u3000]/g, " ")
    .toLowerCase()
    // 3. Remove punctuation (dots/dashes) so "Ramos-Vinolas" matches "Ramos Vinolas"
    .replace(/[^a-z0-9\s]/g, ' ')
    // 4. Collapse all multi-spaces (like the double space in your Jessica Pegula preview)
    .replace(/\s+/g, ' ')
    .trim();
    }

  2. Update the Visual Display for Debugging
    Replace the "Visual Sign" block in your MATCH_PREVIEW function with this one. It will now tell you exactly why a player is failing (is it because their name wasn't found, or because their percentage column was empty?).
    // ==============================================================
    // 🎾 VISUAL SIGN: Historical Surface Output (lookup proof)
    // ==============================================================
    try {
    var _histA = null, _histB = null;
    var _tourScope = tourCode();
    if (_tourScope === 'WTA') {
    _histA = _getHistoricalSurfaceWinRateWTA(A);
    _histB = _getHistoricalSurfaceWinRateWTA(B);
    } else {
    _histA = _getHistoricalSurfaceWinRateATP(A);
    _histB = _getHistoricalSurfaceWinRateATP(B);
    }

    // Detailed feedback
    var _strA = (Number.isFinite(_histA)) ? (_histA * 100).toFixed(1) + "%" : (_histA === null ? "Not Found" : "Empty Data");
    var _strB = (Number.isFinite(_histB)) ? (_histB * 100).toFixed(1) + "%" : (_histB === null ? "Not Found" : "Empty Data");

    lines.push("- Hist. Surface (" + surfaceAlias() + "): " + A + " (" + _strA + ") | " + B + " (" + _strB + ")");
    } catch(e) {
    lines.push("- Hist. Surface: (Lookup Error)");
    }

  3. Quick Check: Tab Names
    Ensure there are no leading or trailing spaces in your sheet tab names at the bottom of your Google Sheet.

  • Right-click the tab Surface_Lookup and ensure there isn't a space at the end.
  • Right-click the tab WTA_Surface_Lookup and do the same.
    Why this fixes the Pivot Table issue:
  • Invisible Spaces: Pivot Tables often add a space at the end of a player's name to separate it from the formatting. The new normPlayerKey specifically hunts for and kills those characters (specifically Unicode \u00A0).
  • Double Spaces: Your preview text showed Jessica Pegula (with two spaces). The new code collapses those into one, so it correctly matches the single space typically found in your lookup sheets.
  • Accents: If your lookup sheet has "M. Barthel" and your input is "Mona Barthel," or if there are any international characters, this normalization ensures the "Key" matches perfectly.

This is the "Smoking Gun" for why your script was returning No Data. The names in your historical database are stored in Last Initial format (like Pegula J.), but your spreadsheet inputs are Full Names (like Jessica Pegula). Currently, the script is looking for an exact match, and since "Jessica Pegula" does not equal "Pegula J.", it fails.
I have updated the logic to be "Tennis Intelligent." It now creates a secondary "Initial Key" for every player. If it can’t find the full name, it will automatically try to match the last name and initial.
Step 1: Replace the Normalization & Key Logic
Replace your current normPlayerKey at the bottom of your script with these two functions. This new logic handles the Last Initial format and kills those invisible Pivot Table characters.
// 1. CLEANS NAMES (Kills Pivot Table "ghost" spaces and accents)
function normPlayerKey(name) {
if (!name) return '';
return String(name)
.normalize("NFD").replace(/[\u0300-\u036f]/g, "") // Remove accents (Đoković -> Djokovic)
.replace(/[\u00A0\u1680\u180e\u2000-\u200a\u2028\u2029\u202f\u205f\u3000]/g, " ") // Kill Pivot Table spaces
.toLowerCase()
.replace(/[^a-z0-9\s]/g, ' ') // Remove dots/dashes
.replace(/\s+/g, ' ') // Collapse spaces
.trim();
}

// 2. TENNIS MATCHMAKER (Converts "Jessica Pegula" to "pegula j" for matching)
function getTennisInitialKey(name) {
var cleaned = normPlayerKey(name);
if (!cleaned) return null;
var parts = cleaned.split(' ');

if (parts.length < 2) return cleaned; // Can't shorten further

// If it's "pegula j", it's already in the correct format
if (parts[parts.length-1].length === 1) return cleaned;

// If it's "jessica pegula", convert to "pegula j"
var lastName = parts.slice(1).join(' ');
var initial = parts[0].charAt(0);
return lastName + ' ' + initial;
}

Step 2: The Logic Upgrade (The Final Fix)
You don't need to manually update your database. I have rewritten your lookup functions to check both the full name and the initial version automatically.
Replace your current _getHistoricalSurfaceWinRateATP and WTA functions with these:
function _getHistoricalSurfaceWinRateATP(playerName) {
if (!_histSurfaceCacheATP) _histSurfaceCacheATP = buildHistSurfaceCacheATP();

var key1 = normPlayerKey(playerName);
var key2 = getTennisInitialKey(playerName);

// Try Full Name match first, then try "Last I." match
var row = _histSurfaceCacheATP[key1] || _histSurfaceCacheATP[key2];
if (!row) return null;

var surfKey = surfaceKeyForHistLookup();
return (surfKey && Number.isFinite(row[surfKey])) ? row[surfKey] : null;
}

function _getHistoricalSurfaceWinRateWTA(playerName) {
if (!_histSurfaceCacheWTA) _histSurfaceCacheWTA = buildHistSurfaceCacheWTA();

var key1 = normPlayerKey(playerName);
var key2 = getTennisInitialKey(playerName);

var row = _histSurfaceCacheWTA[key1] || _histSurfaceCacheWTA[key2];
if (!row) return null;

var surfKey = surfaceKeyForHistLookup();
return (surfKey && Number.isFinite(row[surfKey])) ? row[surfKey] : null;
}

Part 3: Updating your Pivot Table Range
Since your data is in a pivot table, you must ensure the Pivot Table is actually looking at all the new rows you added to the "Raw Data" tab.

  • Go to your Surface_Lookup (or WTA_Surface_Lookup) sheet.
  • Click anywhere inside the Pivot Table.
  • The Pivot table editor will appear on the right side.
  • At the very top, click the Data range box (see the icon below).
  • Change the range to be open-ended. For example, change 'Raw Data'!A1:L500 to 'Raw Data'!A1:L.
  • This ensures every time you paste new matches into your raw sheet, the Pivot Table (and your script) updates automatically.
    Why this is the "Perfect" Fix:
  • Matches Everything: If your sheet has Pegula J. and your input is Jessica Pegula, the script now knows they are the same person.
  • Handles Multi-Name Players: It handles complex names like Haddad Maia B. or Garcia Perez G. by correctly identifying the last names and initials.
  • No Manual Work: You don't have to change your data. The script "learns" the different formats every time it runs.
    Update my script then send it as a sownlable txt link

Don’t forget to check for syntax and undefined issues

Thought

Modifying user's script and adding changes

I need to update the user's script by including a new normalizer and lookup changes, along with a visual debug block. They also want key mappings like "Pegula J." integrated. I’ll first search for function definitions, then replace and edit the code, along with creating a downloadable updated file.

Checking for syntax errors and preparing code parsing

I need to check for syntax errors and undefined issues in the user's code. I’m considering using Node.js to parse the script, possibly with new Function() or checking brace balance. There may be non-ES5 features like specific Google services or the @OnlyCurrentDoc comment, but this should still compile. I'll give it a try and also implement the necessary changes.

Searching for Surface_Lookup functions and preparing updates

I’ll check for the Surface_Lookup functions by searching the file. I also need to avoid using writing blocks, just code blocks. The user requested updates to the script, so I’ll provide a downloadable file with those changes, along with a summary of what I modified. Let's start by finding the functions.

{"queries":["Update my Google Apps Script so historical surface win rate lookups no longer return "No Data" by adding aggressive player-name normalization, a last-name+initial fallback key, and smarter MATCH_PREVIEW debug output.","normPlayerKey function","_getHistoricalSurfaceWinRateATP","_getHistoricalSurfaceWinRateWTA","MATCH_PREVIEW visual sign historical surface"],"source_filter":["files_uploaded_in_conversation"]}

Identifying function locations and preparing replacements

I’ve found the relevant functions, including the simple _normPlayerKey_. Now, I need to locate the place for the MATCH_PREVIEW visual sign block to replace, and also search for "- Hist. Surface" lines for context. I'll do another search to locate these lines properly.

{"queries":["lines.push("- Hist. Surface"","VISUAL SIGN: Historical Surface","MATCH_PREVIEW function lines push Hist. Surface","Player Not Found No % Data","No Data Visual Line"],"source_filter":["files_uploaded_in_conversation"]}

Updating MATCH_PREVIEW block and normalizing keys

I’ve identified the visual block in MATCH_PREVIEW that says ‘No Data’ – it needs to be replaced with a smarter version. I’ll integrate the changes, including the key mappings and normalization. I’ll ensure that the multiple name formats, like ‘Maria Camila Osorio Serrano,’ are properly handled and mapped to initial keys.

Finalizing normalization logic and integrating updates

I'll follow the suggestion to treat everything after the first token as a last name. I’ll handle cases like "Pegula J." and "Badosa G." by removing punctuation and formatting them correctly. I’ll update the surface win rate functions to use the new keys and ensure that normalization handles any hidden spaces, all within the script.

Addressing potential issues with player key normalization and sheet names

I need to check if other scripts might include a different version of normPlayerKey earlier. I'll do this by searching for occurrences in the file. Additionally, I can make the script more robust by checking sheet names, accounting for potential trailing spaces, by adapting the sheet lookup logic to ignore whitespace. This should help avoid any data issues.

{"pointers":["2:11"]}

Refining search for relevant functions and lines

It looks like I need to focus on the region around MATCH_PREVIEW and the hist lookups, rather than the start of the file. The file_search provides chunk pointers, and I plan to use those specific pointers to access the relevant functions. I'll click on pointers like 1:3 and 2:11 to get the necessary surrounding lines.

{"pointers":["1:3","1:4","2:11"]}

Updating the uploaded script and implementing changes

The user has uploaded a file and asked me to update it, incorporating changes such as the super-normalizer, tennis initial key, and updated lookup functions for historical surface win rate, as well as the MATCH_PREVIEW update. I'll inspect the file by reading it directly, make the necessary updates, and perform a basic syntax check. Then, I'll generate the updated .txt file and provide a download link.

Checking for conflicts and running syntax check

I need to make sure none of the new functions conflict with existing ones, and I’ll replace the visual block in MATCH_PREVIEW by finding the comment "VISUAL SIGN." Then, I’ll perform a basic syntax check on the script using Node's --check command to catch any obvious errors. I'll also make sure newly added functions exist and are properly referenced without breaking the current code.

Ensuring no duplicate functions

I need to check that we haven't accidentally created any duplicate function names, since in Apps Script, those will override earlier ones — which is okay but could cause confusion. To fix this, I'll proceed with using a container tool and Python to perform the necessary modifications and then produce the updated output file. Let's get started!

bash -lc ls -l /mnt/data && sed -n '1,80p' "/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt" | cat

Locating functions in a large file

The file is huge, and I need to focus on specific functions near the bottom. I’ll use a search tool like grep to quickly locate the _normPlayerKey_ function and others. This will help me narrow down the area I need to modify without getting lost in the file.

bash -lc grep -n "function normPlayerKey" -n "/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt" | head

Navigating the file to find relevant code

I’ve located line 12623, so now I’ll focus on the lines near it. This should help me get a better sense of the context and see if there are any relevant functions or code that need adjusting. I’ll check the nearby lines to make sure nothing important is missed.

bash -lc sed -n '12550,12720p' "/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt" | cat

bash -lc sed -n '12720,12880p' "/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt" | cat

Updating functions and locating the visual block

I see that historical functions and the simple normalization function are already in place, so I’ll just focus on updating them. Now, I need to locate the MATCH_PREVIEW visual block — searching for "VISUAL SIGN" could help me find it. Once I locate it, I’ll make the necessary changes.

bash -lc grep -n "VISUAL SIGN" -n "/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt" | head -n 20

Reviewing around line 12623

I think it’s a good idea to take a look at the lines around the one I’ve pinpointed. This way, I can better understand the full context and see if there are other related changes I need to consider before moving forward with the updates.

bash -lc sed -n '11070,11210p' "/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt" | cat

Planning smarter error handling

We’re updating the current block that prints “No Data” with a more refined version. We’ll change it starting from the "try {" to the comment line "// ==============================================================." The key change is to distinguish between "Player Not Found" and "No % Data"—handle null for not found, and perhaps use undefined for missing data. I'll adjust the function to return null when no player match exists and NaN or undefined for missing data.

Deciding on sentinel value for missing data

For missing data, we need to differentiate between “Player Not Found” and “No % Data.” Their check uses _histA === null ? "Player Not Found" : "No % Data", and treating missing percent data as null could lead to incorrect results. So we’ll return undefined or NaN when the surface value is missing. I'll go with undefined for clarity, as it’s a more explicit choice. This should work well with their existing logic.

Deciding how to handle missing data in preview

For now, we're returning null when data isn't found, but if future debugging requires it, we may return undefined for missing data instead. For consistency, I’ll return null when no match is found, but treat missing values as undefined, as requested. I'll also adjust the function to handle this correctly in the preview.

Updating retrieval functions and handling edge cases

When row values are null, I’ll return undefined. I'll also adapt key handling for ATP and WTA data to ensure the functions work correctly. For caching, I'll modify the retrieval logic, use the helper function to handle sheet trimming, and ensure the code functions well with normalized strings. I'll follow the necessary regex rules to handle hidden characters.

Handling character normalization and updates

Looks like normalization won't handle "đ" as hoped, so I'll add a replacement to map "Đ" and "đ" to "D" and "d". I'll also include mappings for other special letters like "Ł", "Ø", and "ß". Then, we can implement code to remove accents and handle punctuation. I'll update key functions like player normalization and surface cache building too.

Ensuring that the normalization change doesn't break other uses

I need to make sure that changing _normPlayerKey_ doesn't mess up other parts of the system. It might only be used for this task, but I'll check for any other places it shows up. I’ll search for occurrences using grep—better safe than sorry!

bash -lc grep -n "normPlayerKey" "/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt" | head -n 40

Updating functions and ensuring correct error handling

I’m integrating the helper and updating some line definitions. I’ll replace the old functions with improved ones and update the try/catch block lines in the match preview. I’ll also make small changes for error handling, like ensuring null is returned when data’s missing, and ensuring proper handling of falsy names in the normKey function.

from pathlib import Path, PurePosixPath path = Path("/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt") text = path.read_text(encoding="utf-8") len(text), text[:2000]

Building a player normalization block

I'm constructing a new function to normalize player names. It will clean up accents, convert special letters like Đ/đ to regular 'd', fix ghost spaces, normalize punctuation, and collapse extra whitespace. I'll also work on the tennis-specific naming key, focusing on converting full names while handling "Last First initial" forms.

Safeguarding function names and updating cache functions

I need to be careful not to accidentally override any existing function names. Once I replace the old _normPlayerKey_ function with the new ones, I'll ensure that functions like _getSheetByNameTrim_ are used instead. The plan is to update the cache-building functions and modify the surface win rate logic for ATP and WTA.

Implementing key1/key2 logic and updating visual block

I'll modify the _getHistoricalSurfaceWinRateATP function to use both key1 and key2 for lookup. If neither of them works, the function will return null. I'll also update the visual block to format the historical surface output with the new logic and include a downloadable text file link as requested.

Considering citation requirements for file references

The user didn’t ask for citations, but since I referenced content through file_search, I’ll need to include citations for any internal sources used. This means I’ll need to cite the relevant lines from the original file, including normPlayerKey and the visual block, for clarity.

Updating with citations for revised sections

I need to include citations in the final response. Since tool responses have citations like "turn1file3", I’ll use file_search to fetch the specific line ranges from the sections I modified, like "normPlayerKey" and "Hist. Surface". I'll then reference these citations in my response, noting changes made in the relevant sections.

{"queries":["normPlayerKey(name){ return String(name || '').toLowerCase().trim(); }",""- Hist. Surface" "No Data"","_getHistoricalSurfaceWinRateATP(playerName)","buildHistSurfaceCacheATP getSheetByName('Surface_Lookup')"],"source_filter":["files_uploaded_in_conversation"]}

Retrieving citation for visual block

It looks like file_search didn’t fetch the visual block details, so I need to search for “Hist. Surface (” to get the relevant lines. Once those are retrieved, I’ll include the citations in the final response, ensuring I note the changes made in the visual block as well.

{"queries":[""- Hist. Surface (" + surfaceAlias()",""No Data";","🎾 VISUAL SIGN: Historical Surface Output (lookup proof)"],"source_filter":["files_uploaded_in_conversation"]}

Locating citation for norm function

I’ve got the citation for the visual block, but I still need one for the _normPlayerKey_ function and existing lookups. The file_search snippet didn’t capture the right lines. I’ll search for the norm function specifically to get the correct lines and add those citations into the final response.

{"queries":["function normPlayerKey(name){","_getHistoricalSurfaceWinRateATP(playerName){","Surface_Lookup");","WTA_Surface_Lookup"],"source_filter":["files_uploaded_in_conversation"]}

Fixing query issue with proper escape

Ah, I noticed that the string contains unescaped quotes, which would break the JSON format. I’ll fix that right away, making sure everything is properly escaped. Also, I’ll stick to the 5-query limit and keep things concise. That should work much better!

{"queries":["function normPlayerKey(name)","_getHistoricalSurfaceWinRateATP(playerName)","_getHistoricalSurfaceWinRateWTA(playerName)","Surface_Lookup","WTA_Surface_Lookup"],"source_filter":["files_uploaded_in_conversation"]}

Planning function replacements with regex

Alright, we’ll cite the relevant lines for norm, lookups, and visual signs. Now, time to implement the replacements in Python. I’ll use re.sub with regular expressions to target specific blocks and replace the function definitions and lookup functions. I'll start by replacing the _normPlayerKey_ function definition, then move on to the other necessary patches. This should work smoothly!

Replacing the visual sign block with safe pattern matching

I’ll work on replacing the visual sign block by targeting the specific comment label and try { keyword. This ensures I can safely replace the lines while preserving function. By matching the previous block using a unique pattern, I'll make sure the replacement will happen correctly without affecting unrelated code. Then I’ll push the changes.

Implementing formatting changes and syntax check

I’ll update the old push formatting to include parentheses around the output for clarity. For the syntax check, I’ll run node --check on the modified JavaScript file. It seems the file needs to be stored as .js for checking, but I’ll output both .txt and .js versions to accommodate the user.

import re, textwrap, json, os, subprocess, sys, pathlib, math from pathlib import Path

src_path = Path("/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt") src = src_path.read_text(encoding="utf-8")

1) Replace normPlayerKey with super-normalizer + helpers

new_norm_block = textwrap.dedent("""
function normPlayerKey(name) { if (!name) return ''; return String(name) .normalize('NFD').replace(/[\u0300-\u036f]/g, '') // Remove accents/diacritics .replace(/[đĐ]/g, 'd') // Common tennis special-case (Đoković) .replace(/[\u00A0\u1680\u180e\u2000-\u200a\u2028\u2029\u202f\u205f\u3000]/g, ' ') // Kill pivot-table ghost spaces .toLowerCase() .replace(/[^a-z0-9\s]/g, ' ') // Turn dashes/dots/apostrophes into spaces .replace(/\s+/g, ' ') // Collapse whitespace .trim(); }

// Converts "Jessica Pegula" -> "pegula j" so it matches lookup sheets that store "Pegula J." function getTennisInitialKey(name) { var cleaned = normPlayerKey(name); if (!cleaned) return null;

var parts = cleaned.split(' '); if (parts.length < 2) return cleaned;

// Already looks like "last i" (final token is a single letter) if (parts[parts.length - 1].length === 1) return cleaned;

var lastName = parts.slice(1).join(' '); var initial = parts[0].charAt(0); return (lastName && initial) ? (lastName + ' ' + initial) : cleaned; }

// Defensive sheet getter: tolerates leading/trailing spaces in tab names. function getSheetByNameTrim(ss, exactName) { try { if (!ss) return null;

text
var sh = ss.getSheetByName(exactName);
if (sh) return sh;

var sheets = ss.getSheets();
for (var i = 0; i < sheets.length; i++) {
  var nm = String(sheets[i].getName() || '');
  if (nm.trim() === exactName) return sheets[i];
}

} catch (e) {} return null; } """)

pattern_norm = r"function\s+normPlayerKeynamename{\s*\n\sreturn\s+Stringname\s∗∥∥\s∗′′name\s*\|\|\s*''.toLowerCase\)\.trim\(;\s\n\s*}\s*\n" src2, n_norm = re.subn(pattern_norm, new_norm_block, src, count=1, flags=re.MULTILINE) n_norm

Handling string escape characters in Python replacements

I realized that the replacement string contains sequences like \u0300, which Python interprets as escape characters during replacement. To prevent this, I'll need to either use raw strings or escape the backslashes. Using a lambda in re.sub might be the easiest approach to handle this problem.

Handling backslashes in regex replacements

I need to figure out how to properly handle backslashes in my replacement string. If I use re.sub with a function, no extra backslash substitutions should happen, so the string is treated as is. I'll test this approach since it seems to avoid the issues with backslash interpretation.

import re, textwrap from pathlib import Path

src_path = Path("/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt") src = src_path.read_text(encoding="utf-8")

new_norm_block = textwrap.dedent("""
function normPlayerKey(name) { if (!name) return ''; return String(name) .normalize('NFD').replace(/[\u0300-\u036f]/g, '') // Remove accents/diacritics .replace(/[đĐ]/g, 'd') // Common tennis special-case (Đoković) .replace(/[\u00A0\u1680\u180e\u2000-\u200a\u2028\u2029\u202f\u205f\u3000]/g, ' ') // Kill pivot-table ghost spaces .toLowerCase() .replace(/[^a-z0-9\s]/g, ' ') // Turn dashes/dots/apostrophes into spaces .replace(/\s+/g, ' ') // Collapse whitespace .trim(); }

// Converts "Jessica Pegula" -> "pegula j" so it matches lookup sheets that store "Pegula J." function getTennisInitialKey(name) { var cleaned = normPlayerKey(name); if (!cleaned) return null;

var parts = cleaned.split(' '); if (parts.length < 2) return cleaned;

// Already looks like "last i" (final token is a single letter) if (parts[parts.length - 1].length === 1) return cleaned;

var lastName = parts.slice(1).join(' '); var initial = parts[0].charAt(0); return (lastName && initial) ? (lastName + ' ' + initial) : cleaned; }

// Defensive sheet getter: tolerates leading/trailing spaces in tab names. function getSheetByNameTrim(ss, exactName) { try { if (!ss) return null;

text
var sh = ss.getSheetByName(exactName);
if (sh) return sh;

var sheets = ss.getSheets();
for (var i = 0; i < sheets.length; i++) {
  var nm = String(sheets[i].getName() || '');
  if (nm.trim() === exactName) return sheets[i];
}

} catch (e) {} return null; } """)

pattern_norm = re.compile(r"function\s+normPlayerKeynamename{\s*\n\sreturn\s+Stringname\s∗∥∥\s∗′′name\s*\|\|\s*''.toLowerCase\)\.trim\(;\s\n\s*}\s*\n", re.MULTILINE) m = pattern_norm.search(src) m.group(0)[:120], m.start()

Substituting using function

Alright, it's time to go ahead and substitute using the function. This way, the replacement string will be treated literally, and I won't have to worry about backslashes being processed incorrectly. I'll run it and see how it works in practice.

src2, n_norm = pattern_norm.subn(lambda m: new_norm_block, src, count=1) n_norm

Patching sheet name retrieval

Next up, I'll patch how the sheet name is being retrieved. It's important to make sure the name is correctly fetched without causing issues further down the line. I'll proceed carefully with this part to avoid any inconsistencies or errors. Let's go ahead and implement it.

src3 = src2.replace("var sh = ss.getSheetByName('Surface_Lookup');", "var sh = getSheetByNameTrim(ss, 'Surface_Lookup');") src3 = src3.replace("var sh = ss.getSheetByName('WTA_Surface_Lookup');", "var sh = getSheetByNameTrim(ss, 'WTA_Surface_Lookup');")

count replacements

(src2.count("ss.getSheetByName('Surface_Lookup')"), src3.count("ss.getSheetByName('Surface_Lookup')"), src2.count("ss.getSheetByName('WTA_Surface_Lookup')"), src3.count("ss.getSheetByName('WTA_Surface_Lookup')"))

Replacing historical functions with regex

I need to replace the historical functions next. I'll use regex to search for the content between function _getHistoricalSurfaceWinRateATP and the closing } marking the end of the function. To make sure it works properly, I’ll apply a non-greedy search to capture just what’s needed. Let’s get started!

import re, textwrap

new_atp = textwrap.dedent("""
function _getHistoricalSurfaceWinRateATP(playerName) { if (!_histSurfaceCacheATP) _histSurfaceCacheATP = buildHistSurfaceCacheATP();

var key1 = normPlayerKey(playerName); var key2 = getTennisInitialKey(playerName);

if (!key1 && !key2) return null;

// Try full-name key first, then "last initial" key. var row = (key1 && _histSurfaceCacheATP[key1]) || (key2 && _histSurfaceCacheATP[key2]); if (!row) return null;

var surfKey = surfaceKeyForHistLookup(); if (!surfKey) return undefined;

var v = row[surfKey]; return Number.isFinite(v) ? v : undefined; // undefined => "No % Data" in MATCH_PREVIEW } """)

new_wta = textwrap.dedent("""
function _getHistoricalSurfaceWinRateWTA(playerName) { if (!_histSurfaceCacheWTA) _histSurfaceCacheWTA = buildHistSurfaceCacheWTA();

var key1 = normPlayerKey(playerName); var key2 = getTennisInitialKey(playerName);

if (!key1 && !key2) return null;

var row = (key1 && _histSurfaceCacheWTA[key1]) || (key2 && _histSurfaceCacheWTA[key2]); if (!row) return null;

var surfKey = surfaceKeyForHistLookup(); if (!surfKey) return undefined;

var v = row[surfKey]; return Number.isFinite(v) ? v : undefined; } """)

pat_atp = re.compile(r"function\s+_getHistoricalSurfaceWinRateATP\s*[)]∗[^)]*\s*{.?\n}", re.DOTALL) pat_wta = re.compile(r"function\s+_getHistoricalSurfaceWinRateWTA\s[)]∗[^)]*\s*{.*?\n}", re.DOTALL)

Ensure we match the correct ones by searching within the hist section: maybe multiple occurrences, so use count=1 after locating around.

We'll restrict to the last occurrence by using rfind and slicing? We'll just do subn with count=1 from left; appears only once each in file.

src4, n_atp = pat_atp.subn(lambda m: new_atp.rstrip(), src3, count=1) src5, n_wta = pat_wta.subn(lambda m: new_wta.rstrip(), src4, count=1) n_atp, n_wta

Patching visual block and matching the function body

I need to make sure that my regex match doesn't accidentally grab extra content. Once I am confident, I'll patch the visual block. I’ll use string.find to locate the block within MATCH_PREVIEW. From there, I'll apply a regex around the comment and the lines, ensuring proper indentation, matching the original format. Let’s proceed!

new_visual = textwrap.dedent("""
try { var _histA = null, _histB = null; var _tourScope = tourCode(); if (_tourScope === 'WTA') { _histA = _getHistoricalSurfaceWinRateWTA(A); _histB = _getHistoricalSurfaceWinRateWTA(B); } else { _histA = _getHistoricalSurfaceWinRateATP(A); _histB = _getHistoricalSurfaceWinRateATP(B); }

text
  // Detailed feedback:
  // - finite number => display %
  // - null          => player name not found in lookup sheet
  // - undefined/NaN  => player found, but % missing/blank for this surface
  var _strA = (Number.isFinite(_histA)) ? (_histA * 100).toFixed(1) + "%" : (_histA === null ? "Player Not Found" : "No % Data");
  var _strB = (Number.isFinite(_histB)) ? (_histB * 100).toFixed(1) + "%" : (_histB === null ? "Player Not Found" : "No % Data");

  lines.push("- Hist. Surface (" + surfaceAlias() + "): " + A + " (" + _strA + ") | " + B + " (" + _strB + ")");
} catch(e) {
  lines.push("- Hist. Surface: (Lookup Error)");
}

""").rstrip()

pat_visual = re.compile( r"\stry\s{\s*\n\svar\s+_histA\s=\snull,\s_histB\s*=\snull;.?\n\s*}\scatchee\s{\s*\n\slines.push\"- Hist\. Surface: \(Lookup Error");\s\n\s*}\s*", re.DOTALL )

We only want to replace the first occurrence in the file that matches within MATCH_PREVIEW.

Let's search occurrences count.

matches = list(pat_visual.finditer(src5)) len(matches), matches[0].start(), matches[0].group(0)[:100]

Replacing the match

Looks like the match worked perfectly! Now I’ll go ahead and replace it with the necessary changes. I’ll keep my focus on maintaining the structure and formatting so everything looks as intended. Time to execute!

src6, n_visual = pat_visual.subn(lambda m: "\n" + new_visual + "\n", src5, count=1) n_visual

Ensuring everything is intact

I’ve replaced everything from the try to catch block while keeping the comment header intact. The indentation looks good, and the undefined returns from the win rate functions should work fine, considering context adjustments. I’ll double-check for any bracket count issues, then create the output file.

out_path = Path("/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.supernorm.initialkey.txt") out_path.write_text(src6, encoding="utf-8") out_path, out_path.stat().st_size

Running the syntax check

I’ll copy the file to a .js extension since Node expects that. Then, I’ll run the syntax check with the node --check command to ensure everything is running smoothly. Hopefully, this will catch any syntax issues so I can resolve them before proceeding.

bash -lc cp "/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.supernorm.initialkey.txt" /mnt/data/tmp_check.js && node --check /mnt/data/tmp_check.js

Validating undefined issues

The fact that there's no output means the check passed, which is great! I’ll next check for any undefined issues, particularly around new helper names or uses. We need to ensure that "tourCode" isn’t being used incorrectly—though it likely existed earlier. A quick grep should help confirm everything's in order.

bash -lc grep -n "function tourCode" -n "/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.supernorm.initialkey.txt" | head

Checking if surfaceAlias is defined

I’ll quickly verify if the surfaceAlias definition exists in the code. It's important to ensure that this function is properly defined and accessible. If it doesn’t exist or is used incorrectly, I might need to define it or investigate further. Checking now.

bash -lc grep -n "function surfaceAlias" -n "/mnt/data/Tennis.God.JS.MATCH_PREVIEW_visualfix.supernorm.initialkey.txt" | head

Ensuring clean updates and documentation

I

Thought for 9m 38s

Answer

Updated ✅ — I replaced the old exact-match normalizer and lookup logic (which was causing the “No Data” outputs) (Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt) and upgraded the MATCH_PREVIEW “Hist. Surface” line to show Player Not Found vs No % Data instead of the old generic “No Data” (Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt). I also updated the historical lookup functions to try both full-name and “last initial” keys, fixing the “Pegula J.” vs “Jessica Pegula” mismatch (Tennis.God.JS.MATCH_PREVIEW_visualfix.updated (1).txt).

Here’s your downloadable script as a .txt:

Download the updated script

Checks performed

  • ✅ JS syntax check passed (node --check)
  • ✅ New functions referenced in the updated blocks exist in the file (e.g., tourCode(), surfaceAlias())

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