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Use input suggestions; better python table display #2

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Merged
jcheng5 merged 3 commits into from
Mar 25, 2025
Merged

Use input suggestions; better python table display #2

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09a3a9f
Mention input suggestions in the prompt
cpsievert Mar 24, 2025
95b9954
Add Bootstrap table CSS classes when exporting pandas table (for bett…
cpsievert Mar 24, 2025
2eb0032
Get rid of unwanted gray applied to the whole app container
cpsievert Mar 24, 2025
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10 changes: 10 additions & 0 deletions python-package/querychat/prompt/prompt.md
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Expand Up @@ -74,6 +74,16 @@ Example of question answering:

If the user provides a vague help request, like "Help" or "Show me instructions", describe your own capabilities in a helpful way, including examples of questions they can ask. Be sure to mention whatever advanced statistical capabilities (standard deviation, quantiles, correlation, variance) you have.

### Showing example questions

If you find yourself offering example questions to the user as part of your response, wrap the text of each prompt in `<span class="suggestion">` tags. For example:

```
* <span class="suggestion">Suggestion 1.</span>
* <span class="suggestion">Suggestion 2.</span>
* <span class="suggestion">Suggestion 3.</span>
```

## DuckDB SQL tips

* `percentile_cont` and `percentile_disc` are "ordered set" aggregate functions. These functions are specified using the WITHIN GROUP (ORDER BY sort_expression) syntax, and they are converted to an equivalent aggregate function that takes the ordering expression as the first argument. For example, `percentile_cont(fraction) WITHIN GROUP (ORDER BY column [(ASC|DESC)])` is equivalent to `quantile_cont(column, fraction ORDER BY column [(ASC|DESC)])`.
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2 changes: 1 addition & 1 deletion python-package/querychat/querychat.py
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Expand Up @@ -136,7 +136,7 @@ def df_to_html(df: IntoFrame, maxrows: int = 5) -> str:
df_short = nw.from_native(df).head(maxrows)

# Generate HTML table
table_html = df_short.to_pandas().to_html(index=False)
table_html = df_short.to_pandas().to_html(index=False, classes="table table-striped")

# Add note about truncated rows if needed
if len(df_short) != len(ndf):
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1 change: 0 additions & 1 deletion python-package/querychat/static/css/styles.css
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Expand Up @@ -7,7 +7,6 @@
flex-direction: column;
height: 100%;
width: 100%;
background-color: var(--bslib-sidebar-main-bg);
}

.querychat-messages {
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10 changes: 10 additions & 0 deletions r-package/inst/prompt/prompt.md
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Expand Up @@ -80,6 +80,16 @@ Example of question answering:

If the user provides a vague help request, like "Help" or "Show me instructions", describe your own capabilities in a helpful way, including examples of questions they can ask. Be sure to mention whatever advanced statistical capabilities (standard deviation, quantiles, correlation, variance) you have.

### Showing example questions

If you find yourself offering example questions to the user as part of your response, wrap the text of each prompt in `<span class="suggestion">` tags. For example:

```
* <span class="suggestion">Suggestion 1.</span>
* <span class="suggestion">Suggestion 2.</span>
* <span class="suggestion">Suggestion 3.</span>
```

## DuckDB SQL tips

* `percentile_cont` and `percentile_disc` are "ordered set" aggregate functions. These functions are specified using the WITHIN GROUP (ORDER BY sort_expression) syntax, and they are converted to an equivalent aggregate function that takes the ordering expression as the first argument. For example, `percentile_cont(fraction) WITHIN GROUP (ORDER BY column [(ASC|DESC)])` is equivalent to `quantile_cont(column, fraction ORDER BY column [(ASC|DESC)])`.
Expand Down