Here are two solid approaches, from the most robust to a more direct workaround.
Approach 1: The "Custom Tool" Method (Most Robust)
This is the most professional and scalable solution. Instead of letting the agent use its default, generic file-saving tool, you create your own custom tool and give it to the agent. This gives you complete control over the process.
Your custom tool will do two things:
Save the DataFrame to a CSV in a known, web-accessible directory on your server.
Return the publicly accessible URL for that file as its final output.
Here’s how that would look in a FastAPI context:
1. Create a custom tool for your agent:
import pandas as pd
import uuid
from langchain.tools import tool
# Assume you have a '/static/downloads' directory that FastAPI can serve files from.
DOWNLOAD_DIR = "/app/static/downloads/"
BASE_URL = "https://your-azure-app-service.com" # Or your server's base URL
@tool
def save_dataframe_and_get_link(df: pd.DataFrame, filename_prefix: str = "export") -> str:
"""
Saves a pandas DataFrame to a CSV file in a web-accessible directory
and returns a public download link. Use this tool whenever you need to
provide a file for the user to download.
"""
try:
# Generate a unique filename to avoid conflicts
unique_id = uuid.uuid4()
filename = f"{filename_prefix}_{unique_id}.csv"
full_path = f"{DOWNLOAD_DIR}{filename}"
# Save the dataframe
df.to_csv(full_path, index=False)
# Generate the public URL
download_url = f"{BASE_URL}/downloads/{filename}"
print(f"DataFrame saved. Download link: {download_url}")
return f"Successfully saved the data. The user can download it from this link: {download_url}"
except Exception as e:
return f"Error saving file: {str(e)}"
# When you initialize your agent, you pass this tool in the `tools` list.
# agent_executor = create_pandas_dataframe_agent(..., tools=[save_dataframe_and_get_link])
2. Update your FastAPI to serve these static files:
from fastapi import FastAPI
from fastapi.staticfiles import StaticFiles
app = FastAPI()
# This tells FastAPI to make the 'static' directory available to the public
app.mount("/static", StaticFiles(directory="static"), name="static")
# Your existing agent endpoint...
@app.post("/chat")
def handle_chat(...):
# ... your agent runs and uses the custom tool ...
result = agent.run(...)
# The 'result' will now contain the download URL!
return {"response": result}
I would strongly recommend Approach 1 for any production application. It gives you much more control and reliability
Connection from host uses a docker proxy by default, which is very basic, adds CPU overhead and is source of many problems.
You can disable it in /etc/docker/daemon.json with { "userland-proxy": false }.
Then docker will use iptables for port redirection, which is always better.
GridDB Cloud does not support the DELETE ... USING syntax that is available in PostgreSQL and some other databases.
For single-table deletes, you need to use a simpler DELETE with a WHERE condition. For example, instead of:
DELETE FROM SensorInventory a
USING SensorInventory b
WHERE a.sensor_id = b.sensor_id
AND b.status = 'INACTIVE';
You can run a subquery in the WHERE clause, such as:
DELETE FROM SensorInventory
WHERE sensor_id IN (
SELECT sensor_id
FROM SensorInventory
WHERE status = 'INACTIVE'
);
This will remove all rows where the sensor_id matches an entry marked as INACTIVE.
So the issue is not with the data, but with the SQL dialect — GridDB Cloud has its own supported SQL syntax, which does not include multi-table deletes.
You don’t need a single big regex to capture everything at once – instead, you can split the problem into two steps. First, match the leading word before the brackets, then use a global regex like /\[(.*?)\]/g to repeatedly extract the contents inside each pair of square brackets. In JavaScript, that means you can grab the base with something like str.match(/^[^\[]+/) and then loop over str.matchAll(/\[(.*?)\]/g) to collect all the bracketed parts. This way you’ll end up with an array like ['something', 'one', 'two'] without trying to force all the groups into one complicated regex .
I've encountered the same error. Running the shell as admin got the command to run for me, but I still haven't been able to get the install working. Perhaps that will work for you?
Azure automation has moved to runtime environment concept. With that said you should create runtime environment. There you can add modules to the runtime environment. Every time you run the runbooks in that environment the modules imported for it will be available.
dataarg is not in Kotlin 2.2.20 (or any released version). It’s only a proposed feature (see KT-8214) and hasn’t been implemented yet. For now, use a normal data class or builder pattern instead.
I know this is an older topic, but for anyone else who stumbles across this:
The current supported way to do this is using the "SQLALCHEMY_ENGINE_OPTIONS" config flag for Flask-SQLAlchemy
For example, to set the pool configuration in the original question, you would add the following to your config file:
In the Outbox pattern, the publisher should not mark an event as completed. The outbox is just a reliable log of events that happened.
Each consumer (service/handler) is responsible for tracking whether it has processed the event.
You don’t have to update the publisher when a new consumer is added.
One failing consumer doesn’t affect the others.
Retries can be handled independently for each consumer.
If you really need a global “completed” flag, only set it after all consumers confirm they are done. In most systems, though, the outbox itself stays unchanged and only consumers record their own status.
I just ran into the same issue, and I bugged someone much smarter than me about it -- her conclusion after some debugging was that it seems like this basically boils down to the Python that comes with MacOS not being compiled with readline support. This could be seen by opening a python shell in emacs, and entering 1, and seeing that the input is echoed in addition to being output.
We switched to using a different python installation (specifically the one that comes with nix) and this made the issue go away. (She says that ones that come with homebrew / macports would also work; apparently it's well-known that the python version that ships with MacOS has these kinds of problems.)
Slightly unsatisfying + seems like black magic to me, but it's working now! :)
Kivy here is trying to use video source as preview image and the video can't be used as a image. The solution is to set the videos's preview in python or kv first to a valid image file, and then set the source of the video to a video file. It is important that preview is set before the source is set.
Why does the performance score change from run to run? I didn’t change anything on my page!
Variability in performance measurement is introduced via a number of channels with different levels of impact. Several common sources of metric variability are local network availability, client hardware availability, and client resource contention.
We’ve identified it and are currently working on a fix. We’ll share an update here as soon as a corrected build is available.
In the meantime, we welcome others to share any additional issues in this thread, along with any relevant test code if possible. This will help us investigate and address problems more efficiently. Our team will continue monitoring and working to improve the experience.
This is related to the hardware. It seems you created an ImageOne array of width*height. Try create an array of width*height*4. Use 4 bytes to describe a pixel, i.e., RGB and alpha. The SLM only uses channel R so GB can be replica of R or anything. Set all alpha to 255. This should work.
Got to blame Meadowlark. Good hardware, shitty interface.
Try Matlab for interface with Meadowlark. Slightly better.
With some helpful discussions from the folks in the comments and this similar question, I believe I have found a solution (perhaps not the best solution).
In the src/lib_name/__init__.py file, if I include:
import lib_name.lib_name
from . import file1, file2
Then in a Jupyter notebook, I import the lib as follows:
from lib_name.lib_name import func
func() # Call the function.
This seems to resolve the name space error I mentioned above.
However, what I still don't understand:
Why do I need to do lib_name.lib_name? Unless I've misunderstood, I thought the src layout allowed you so only need to call lib_name once?
Similarly, in the notebook, I have to also do the (rather ugly) double import of lib_name. Why is this? Again, I was of the understanding this could be done with just one import with src layout.
Why, in the __init__.py file, can I not import all the modules in one line? E.g., from . import lib_name, file1, file2
Any insights on these questions, or recommendations on improving the answer, would still be greatly appreciated.
AI was absolutely hallucinating. Nothing of the sort exists. As @davidebacci mentionned, Measure Killer offers exactly this type of analysis. Mind you, a field used in a relationship will be counted as being used (though in yellow inly if I remember correctly), but it's fairly easy to spot.
My workplace has some strict policies about what we can install without and admin and I was able to install the portable version.
i am using rdlc reports and i have two separate reports that I am trying to generate from different tables in a sql server. i have two separate datasets in my application with two different reports poiinting to only on of the data sets. I have confirmed that the query in each dataset runs correctly and returns the correct data. I don't understand why i can get one report to work perfectly and yet in the second report form with a viewer control I can't even get past all the different errors to open it.
When an SQL UPDATE statement using CONCAT to append a string to an existing field is not working as expected, the primary reason is often the presence of NULL values in the target field.
Here's why and how to address it:
The Problem with NULL and CONCAT:
In many SQL dialects (like standard SQL and MySQL's CONCAT), if any argument to the CONCAT function is NULL, the entire result of the CONCAT function will be NULL.
If your target field contains NULL values, and you attempt to CONCAT a new string to them, the result will simply be NULL, effectively clearing the field rather than appending.
Solutions:
Handle NULL values using COALESCE or IFNULL:
These functions allow you to replace NULL values with an empty string ('') before concatenation, ensuring the CONCAT function works correctly. Using COALESCE (ANSI Standard).
Code
UPDATE your_table
SET your_field = CONCAT(COALESCE(your_field, ''), 'your_append_string');
Using IFNULL (MySQL Specific).
Code
UPDATE your_table
SET your_field = CONCAT(IFNULL(your_field, ''), 'your_append_string');
Use CONCAT_WS (MySQL and SQL Server).
The CONCAT_WS (Concatenate With Separator) function is designed to handle NULL values by skipping them. If you provide a separator, it will only apply it between non-NULL values.
Code
UPDATE your_table
SET your_field = CONCAT_WS('', your_field, 'your_append_string');
In this case, an empty string '' is used as the separator to simply append without adding any extra characters between the original value and the new string.
Other Potential Issues:
Data Type Mismatch:
Ensure the field you are updating is a string-compatible data type (e.g., VARCHAR, TEXT). If it's a numeric type, you'll need to cast it to a string before concatenation.
Permissions:
Verify that your database user has the necessary UPDATE permissions on the table.
Syntax Errors:
Double-check your SQL syntax for any typos or missing commas, quotes, or parentheses.
Database-Specific Concatenation Operators:
Some databases use different operators for string concatenation (e.g., || in Oracle, + in SQL Server). Ensure you are using the correct operator or function for your specific database system.
Happen to me recently, the issue is not with your form, rather they is a component mounted that has not been closed yet, i would advise checking things like model, drawer, header, that have zindex
I had this issue and found that if I call on the functions assigned to "module.exports" in a file, and that file imports another file that also has a "module.exports" assignment, then the functions in the first file won't be found.
I had this issue and found that if I call on the functions assigned to "module.exports" in a file, and that file imports another file that also has a "module.exports" assignment, then the functions in the first file won't be found.
Thanks furas for the explanation, helped me realize the problem itself. Gonna leave a version that yields in batches and, in adjusting the batch size, you can play with the ratio the memory it uses and the response time.
@app.route("/streamed_batches")
def streamed_response_batches():
start_time = time.time()
mem_before = memory_usage()[0]
BATCH_SIZE = 20
def generate():
yield "["
first = True
batch = []
for i in range(BIG_SIZE):
batch.append({"id": i, "value": f"Item-{i}"})
if len(batch) >= BATCH_SIZE or i == BIG_SIZE - 1:
# Flush this batch
chunk = json.dumps(batch)
if not first:
yield ","
yield chunk[1:-1]
batch = []
first = False
yield "]"
mem_after = memory_usage()[0]
elapsed = time.time() - start_time
print(f"[STREAMED_BATCHES] Memory Before: {mem_before:.2f} MB, "
f"After: {mem_after:.2f} MB, Elapsed: {elapsed:.2f}s")
return Response(stream_with_context(generate()), mimetype="application/json")
I was having the same problem and the solution was very simple: Save the file before running uvicorn. It sounds stupid but i'm using a new computer and didn't have auto save enabled. Writing this answer because it might help someone.
You can try red laser beams mixed with some green or UV or heating incandescent lights above 250W with some fans, also the direction of where do you locate the source is important.
inputs = processor('hello, i hope you are doing well', voice_preset=voice_preset)
## add this
for key in inputs.keys():
inputs[key] = inputs[key].to("cuda")
The key part of the error is:
ImportError: Missing optional dependency 'openpyxl'. Use pip or conda to install openpyxl.
Pandas needs an engine to read the file-details in the docs here.
So, for a panda dataframe object, when using the .to_string method, there is a parameter you can specify now for column spacing! I do not know if this is just in newer versions and was not around when you had this problem 4 years ago, but:
print (#dataframeobjectname#.to_string(col_space=#n#)) Will insert spaces between the columns for you. With values of n of 1 or below, the spacing between columns is 1 space, but as you increase n, the number of spaces you specify does get inserted between columns. Interesting effect, though, it adds n-1 spaces in front of the first column, LOL.
AnyPublisher itself doesn’t conform to Sendable, because Combines Publisher protocol isnt marked that way. However if both your Output and Failure types are Sendable, you can add a conditional conformance to make AnyPublisher usable across concurrency domains.
The array you created with Array(3) is a sparse array where all elements are empty, and map doesn't call the callback function on the empty elements, so map passes through the array and returns the array unchanged. This is why your code doesn't work
A bit late for OP, but for people who land on this thread via search: my solution for this is a hack, but it works. I use the date range control since it's the only available date picker, and then add a metric called "Pick single date warning" defined as
IF(COUNT_DISTINCT(date) > 1, "SELECT A SINGLE DATE", "")
Then I add a "Scorecard" chart using this metric with the field name hidden and place it directly under the date picker. If a user selects a multi-date range they see the message, and it goes away when they have a single date.
I have used this method extensively when it's hard to create the perfect dataset and some user selections may yield invalid results.
ggplot2::theme(legend.location = "plot") will override the default legend.location = "panel" and center on the full plot area. ggplot2::theme(legend.justification ...) can be used to manually shift the legend position.
The issue stems from how the PowerShell handles the wildcard (*) in the *.c or *.cpp pattern.
Unlike Unix-based shells (like Bash), Windows shells do not automatically expand wildcards like *.c into a list of matching files, so GCC literally receives *.c, which is not a valid filename.
If OnBackButtonPressed() isn't getting called, it's possible that the callback isn't being setup successfully in the Awake() method. You could try changing Awake() to Start().
Construction estimating services Florida provide accurate cost projections for residential, commercial, and industrial projects. These services help contractors, builders, and homeowners manage budgets, avoid unexpected expenses, and streamline planning. Florida-based estimators understand regional costs, permitting, and materials unique to the state’s construction landscape.
According to this document, "AND EVER" can be used with @currentIteration +/-n when using the WIQL editor. With EVER, you should be able to accomplish your goal. See the link for more information, but something like this in WIQL should meet your needs. The syntax for the iteration name will vary.
AND [System.IterationPath] = @currentIteration('[Project]\Team')
AND EVER [System.IterationPath] = @currentIteration('[Project]\Team') -1
The answer is you can't do this in python. An AI told me this as to why you can't use an in memory location to recreate an object:
Why Direct Memory Control Isn't Possible in Python
Abstracted Memory Management: Python handles memory allocation and deallocation automatically, preventing direct user manipulation of memory addresses.
References, Not Pointers: Variables in Python are references to objects, not raw memory pointers.
Safety and Simplicity: This design choice avoids the complexities and potential errors (like memory leaks or dangling pointers) common in languages that provide direct pointer control.
I'm running Nuxt 4.x and suddenly hit this same issue after a long day of heavy dev work. I ended up running nuxi cleanup as well as blowing away my lockfile and node_modules and reinstalling. It fixed most of the issue: any changes in app.vue don't get hot reloaded: only changes to files in the pages directory seem to get reloaded. Even modifying components doesn't trigger it.
I will give this a go tomorrow. You are correct I just wanted a count of the cells with a value returned by the Vlookup. It’s just used to compare that column with another as part of a tracking form.
[21:15:05] EnumToLowerCase\EnumToLowerCase.EnumWithPrefixGenerator\Unity.AppUI.Unity.AppUI.UI.AssetTargetField.GetSizeUssClassName.gen.cs(3,5): error CS0246: The type or namespace name 'internal' could not be found (are you missing a using directive or an assembly reference?)
[21:15:05] EnumToLowerCase\EnumToLowerCase.EnumWithPrefixGenerator\Unity.AppUI.Unity.AppUI.UI.ToastVisualElement.GetNotificationStyleUssClassName.gen.cs(3,5): error CS0246: The type or namespace name 'internal' could not be found (are you missing a using directive or an assembly reference?)
[21:15:05] EnumToLowerCase\EnumToLowerCase.EnumWithPrefixGenerator\Unity.AppUI.Unity.AppUI.UI.ToastVisualElement.GetNotificationStyleUssClassName.gen.cs(3,14): error CS0102: The type '<invalid-global-code>' already contains a definition for "
According to this post community.sap.com/t5/technology-q-a/… the difference may be caused by the Low Speed Connection setting. You can verify it by checking session.Info.IsLowSpeedConnection.
I have already enabled system assigned managed identity in the Search Service > Settings > Identity but I was missing Search Service > Settings > Keys to also allow RBAC (option RBAC or Both).
You could also add this to the while loop after the break
// This await new promise function is when the code checks a condition repeatedly,
// pausing for 1 second between each check until the condition is met
await new Promise(resolve => setTimeout(resolve, 1000)) // Simple 1-second poll
Adding to the answer by k_o_
I used the java-comment-preprocessor (jcp), and this is how my maven plugins looked:
<!-- this plugin processes the source code and puts the
processed files into ${project.build.directory}/generated-test-sources/preprocessed -->
<plugin>
<groupId>com.igormaznitsa</groupId>
<artifactId>jcp</artifactId>
<!-- 7.2.0 is latest at this time, but 7.1.2 is latest that works
with jdk8. -->
<version>7.1.2</version>
<executions>
<execution>
<!-- Only my test source has conditionals.
Use generate-sources if using "main". -->
<phase>generate-test-sources</phase>
<goals>
<goal>preprocess</goal>
</goals>
</execution>
</executions>
<configuration>
<!-- not sure why , but I believe this is necessary when using
generate-test-sources -->
<useTestSources>true</useTestSources>
<vars>
<JDK11>true</JDK11>
</vars>
<sources>
<source>${project.basedir}/src/test/java-unprocessed</source>
</sources>
<!-- I think I can use <targetTest> to specify where the processed files
should be written. I just accepted the default. -->
</configuration>
</plugin>
<plugin>
<!-- This plugin adds the generated (preprocessed) code from above,
into the build -->
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>3.5.0</version>
<executions>
<execution>
<id>add-source</id>
<phase>generate-test-sources</phase>
<goals>
<!-- Use add-source for "main". I think you need two different
execution entries if you need both phases. -->
<goal>add-test-source</goal>
</goals>
<configuration>
<sources>
<!-- This is the default output from the above jcp plugin -->
<source>${project.build.directory}/generated-test-sources/preprocessed</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
The result is, Java code files that are found in ${project.basedir}/src/test/java-unprocessed are processed by JCP and then dropped into ${project.build.directory}/generated-test-sources/preprocessed, and then the regular test compile includes those generated test sources.
The jcp plugin is really handy, and confoundingly undocumented. There's literally no documentation, no public examples, no hints. The so-called "examples" on the wiki are not examples at all. They don't show how to do this ^^. Also I could not find a reference on all the expressions that are supported in comments. All I used was #ifdef. There's a bunch more. Good luck figuring out what's available!
For information on how to use it, I guess....read the source code?
<!--HTML CODE-->
<html>
<head>
<!-- CSS CODE-->
<style>
/* Background Image */
body
{
background-image: url(Background.png); /* Used to add the Background Picture */
background-position: center; /* Used to center the Picture into the screen */
background-size:cover; /* Used to cover the picture in the entire screen */
background-repeat:repeat; /* Used to repeat the Background Picture */
background-attachment: fixed; /* Used to keep the background fixed when scrolling */
}
#p1
{
color:aqua;
}
</style>
<head>
<body>
<header>
</header>
<main>
<p id="p1"> GeorgeK@portfolio:~@</p>
</main>
<footer>
</footer>
</body>
</html>
var theTask = CreateTheTaskOutsideOfLambda();
... Task.Run(async () => await theTask.ConfigureAwait(false))...
The lambda is executed on the thread pool, so CreateTheTaskInsideTheLambda() cannot catch any ambient SynchronizationContext. .ConfigureAwait(false) here changes nothing, it's not necessary.
CreateTheTaskOutsideOfLambda() on the other hand may catch SynchronizationContext on the first await inside, if that await doesn't have .ConfigureAwait(false). This may cause a deadlock.
Again .ConfigureAwait(false) in Task.Run(async () => await theTask.ConfigureAwait(false)) changes nothing.
This turned out to be a version difference in surveyJS.
In our UAT environment (older surveyJS version), using "maxValueExpression": "today()" does not work on a question with "inputType": "month". Any month value triggers the built-in validation error, making the question unanswerable.
In our dev environment (newer surveyJS), the same configuration works as expected. Users can select the current or past month, and selecting future months is blocked.
Resolution
Upgrade to the latest SurveyJS. After upgrading, the configuration below behaves correctly:
I know this is super late, but hopefully this helps anyone else needing a workaround for such function. I had a similar requirement. Permit me to tale my requirement for better context and to those who have similar problem. Except that in my case it wasn't a 5th or 30th record. It's expected to be dynamic.
On a stocks market analysis project, each day has a market record, but days aren't sequential there are gaps e.g weekends, public holidays etc. Depending on user's input the program can compute or compare across a dynamic timeline e.g 5 market days = 1 week, 2W, 3W, 52W comparison etc. Calendar isn't reliable here. Since data is tied to trading days, not calendar days. In my case it became expedient to leverage row number.
E.g. if date is 2024-08-05 and row_number 53,505. I can look up 25 market days or 300 records away to compute growth etc.
Back to the Answer.
I used Django's annotate() function with a subquery that leverages PostgreSQL's window function to filter the queryset. The answer q = list(qs) above would suffice in cases where data isn't much. I wanted to avoid materializing a large queryset into a list, which would be inefficient.
PostgreSQL's ROW_NUMBER() window function. The SQL query looked something like this:
SELECT subquery.row_num FROM (SELECT id, ROW_NUMBER() OVER (ORDER BY id ASC) as row_num FROM {table_name}) subquery WHERE subquery.id = {table_name}.id
Here's how I implemented it in my Django workflow:
from django.db.models.expressions import RawSQL
class YourModel
...
@classmethod
def get_offset_record(cls, record_id, offset):
"""
Returns X number of market record (days) ago
"""
table_name = cls._meta.db_table
qs = (
cls.objects.all()
.annotate(
row_number=RawSQL(
f"(SELECT subquery.row_num FROM (SELECT id, ROW_NUMBER() OVER (ORDER BY id ASC) as row_num FROM {table_name}) subquery WHERE subquery.id = {table_name}.id)",
[],
output_field=models.IntegerField(),
)
)
.order_by("id")
)
try:
current_row = qs.filter(pk=record_id).first()
target_row_number = current_row.row_number - offset
return qs.get(row_number=target_row_number)
except cls.DoesNotExist:
return None
i'm aware there's a from django.db.models.functions import RowNumber But i find the raw sql easier to use.
Igbinake, A. O., and C. O. Aliyegbenoma. "Estimation and Optimization of Tensile Strain in Mild Steel." Journal of Applied Sciences and Environmental Management 29.5 (2025): 1554-1559.
It means the request is cached, Chrome doesn't need to execute it because the answer is in the cache. Cookies aren't cached, so their headers are missing.
Open Visual Studio Installer, then open Modify, click additional project template (previous version) and .net framework project and item templates, then install them. Finally, open visual studio and enjoy!!!
I was looking at this issue since I've been using remote compute for development, and with the workspace stored in azure blob storage making storing node_modules in the workspace inefficient and slow, and sometimes bricks my remote compute. Instead, I need to have node_modules stored locally on the azure remote compute instance - but since it's outside of my workspace I can't sync the package.json with changes that are live in the repository. I found:
symlink home/azureuser/.../package.json pointing to frontend/package.json
then symlink frontend/node_modules pointing to home/azureuser/.../node_modules
Basically, symlinking in opposite directions, one (package.json) reading from the workspace which is live and synced with the repo, and the other (node_modules) then reading from the remote compute
Another solution would be to have the entire workspace on the compute, but it's not company practice
After spending an entire afternoon going down the Google rabbit hole, I found a post here that referenced another post that appeared to be broken but the Wayback Machine came to the rescue here. After finding what I needed, I realized a couple of SO questions came close to providing an answer indirectly (here and here) but the information wasn't presented in a way I would have picked up on at the time.
For DB2 (i Series at least) use an "x" outside the single quotes with the hex string inside them, like so:
SELECT * FROM [schema].[tablename] WHERE fieldname=x'A0B1C2D3'
