I haven't had trouble parsing csv files for my GAE golang app until this week (I updated to appengine 1.9.23 last week). Now, regardless of file content I am getting this error:
2015/07/09 15:25:34 http: panic serving 127.0.0.1:50352: line 1, column 22: bare " in non-quoted-field
Even when the file content doesn't contain any " characters at all the error occurs.
Anyone know why my files can no longer be parsed? Something changed or I'm doing something super-stupid.
PS using urlfetch to obtain the csv file
This happens when we have on CSV file de " (double quotes) value.
To avoid this error we should use LazyQuotes Parameter like that:
csvFile, _ := os.Open("file.csv")
reader := csv.NewReader(bufio.NewReader(csvFile))
reader.Comma = ';'
reader.LazyQuotes = true
After much ado I determined that the hosting company had updated DotDefender which introduced a rule to block .csv/.tsv arg
If the csv decode library follows RFC-4180
If double-quotes are used to enclose fields, then a double-quote
appearing inside a field must be escaped by preceding it with
another double quote.
For example:
"aaa","b""bb","ccc"
Related
Classic Snowflake Web UI and the new Snowsight are great at importing sql from a file but neither allows you to export sql to a file. Is there a workaround?
You can use an IDE to connect to snowflake and write queries. Then the scripts can be downloaded using IDE features and can sync with git repo as well.
dbeaver is one such IDE which supports snowflake :
https://hevodata.com/learn/dbeaver-snowflake/
The query pane is interactive so the obvious workaround will be:
CTRL + A (select all)
CTRL + C (copy)
<open_favourite_text_editor>
CTRL + P (paste)
CTRL + S (save)
This tool can help you while the team develops a native feature to export worksheets:
"Snowflake Snowsight Extensions wrap Snowsight features that do not have API or SQL alternatives, such as manipulating Dashboards and Worksheets, and retrieving Query Profile and step timings."
https://github.com/Snowflake-Labs/sfsnowsightextensions
Further explained on this post:
https://medium.com/snowflake/importing-and-exporting-snowsight-dashboards-and-worksheets-3cd8e34d29c8
For example, to save to a file within PowerShell:
PS > $dashboards | foreach {$_.SaveToFolder(“path/to/folder”)}
PS > $dashboards[0].SaveToFile(“path/to/folder/mydashboard.json”)
ETA: I'm adding this edit to the front because this is what actually worked.
Again, BSON was a dead end & punycode is irrelevant. I don't know why punycode is referenced in the metadata file; but my best guess is that they might use punycode to encode the worksheet name itself (though I'm not sure why that would be needed since it shouldn't need to be part of a URL).
After doing terrible things and trying a number of complex ways of dealing with escape character hell, I found that the actual encoding is very simple. It just works as an 8 bit encoding with anything that might cause problems escaped away (null, control codes, double quotes, etc.). To load, treat the file as a text file using an 8-bit encoding; extract the data as a JSON field, then re-encode that extracted data as that same encoding. I just used latin_1 to read; but it may not even matter which encoding you use as long as you are consistent and use the same one to re-encode. The encoded field will then be valid zlib compressed data.
I decided that I wanted to start from scratch so I needed to back the worksheets first and I made a Python script based on my findings above. Be warned that this may return even worksheets that you previously closed for good. After running this and verifying that backups were created, I just ran rm #~/worksheet_data/;, closed the tab & reopened it.
Here's the code (fill in the appropriate base directory location):
import os
from collections import OrderedDict
import configparser
from sqlalchemy import create_engine, exc
from snowflake.sqlalchemy import URL
import pathlib
import json
import zlib
import string
def format_filename(s: str) -> str: # From https://gist.github.com/seanh/93666
"""Take a string and return a valid filename constructed from the string.
Uses a whitelist approach: any characters not present in valid_chars are
removed. Also spaces are replaced with underscores.
Note: this method may produce invalid filenames such as ``, `.` or `..`
When I use this method I prepend a date string like '2009_01_15_19_46_32_'
and append a file extension like '.txt', so I avoid the potential of using
an invalid filename.
"""
valid_chars = "-_.() %s%s" % (string.ascii_letters, string.digits)
filename = ''.join(c for c in s if c in valid_chars)
# filename = filename.replace(' ','_') # I don't like spaces in filenames.
return filename
def trlng_dash(s: str) -> str:
"""Removes trailing character if present."""
return s[:-1] if s[-1] == '-' else s
sso_authenticate = True
# Assumes CLI config file exists.
config = configparser.ConfigParser()
home = pathlib.Path.home()
config_loc = home/'.snowsql/config' # Assumes it's set up from Snowflake CLI.
base_dir = home/r'{your Desired base directory goes here.}'
json_dir = base_dir/'json' # Location for your worksheet stage JSON files.
sql_dir = base_dir/'sql' # Location for your worksheets.
# Assumes CLI config file exists.
config.read(config_loc)
# Add connection parameters here (assumes CLI config exists).
# Using sso so only 2 are needed.
# If there's no config file, etc. enter by hand here (or however you want to do it).
connection_params = {
'account': config['connections']['accountname'],
'user': config['connections']['username'],
}
if sso_authenticate:
connection_params['authenticator'] = 'externalbrowser'
if config['connections'].get('password', None) is not None:
connection_params['password'] = config['connections']['password']
if config['connections'].get('rolename', None) is not None:
connection_params['role'] = config['connections']['rolename']
if locals().get('database', None) is not None:
connection_params['database'] = database
if locals().get('schema', None) is not None:
connection_params['schema'] = schema
sf_engine = create_engine(URL(**connection_params))
if not base_dir.exists():
base_dir.mkdir()
if not json_dir.exists():
json_dir.mkdir()
if not (sql_dir).exists():
sql_dir.mkdir()
with sf_engine.connect() as connection:
connection.execute(f'get #~/worksheet_data/ \'file://{str(json_dir.as_posix())}\';')
for file in [path for path in json_dir.glob('*') if path.is_file()]:
if file.suffix != '.json':
file.replace(file.with_suffix(file.suffix + '.json'))
with open(json_dir/'metadata.json', 'r') as metadata_file:
files_meta = json.load(metadata_file)
# List of files from metadata file will contain some empty worksheets.
files_description_orig = OrderedDict((file_key_value['name'], file_key_value) for file_key_value in sorted(files_meta['activeWorksheets'] + list(files_meta['inactiveWorksheets'].values()), key=lambda x: x['name']) if file_key_value['name'])
# files_description will only track non empty worksheets
files_description = files_description_orig.copy()
# Create updated files description filtering out empty worksheets.
for item in files_description_orig:
json_file = json_dir/f"{files_description_orig[item]['name']}.json"
# If a file didn't make it or was deleted by hand, we should
# remove from the filtered description & continue to the next item.
if not (json_file.exists() and json_file.is_file()):
del files_description[item]
continue
with open(json_file, 'r', encoding='latin_1') as f:
json_dat = json.load(f)
# If the file represents a worksheet with a body field, we want it.
if not json_dat['wsContents'].get('body'):
del files_description[item]
## Delete JSON files corresponsing to empty worksheets.
# f.close()
# try:
# (json_dir/f"{files_description_orig[item]['name']}.json").unlink()
# except:
# pass
# Produce a list of normalized filenames (no illegal or awkward characters).
file_names = set(
format_filename(trlng_dash(files_description[item]['encodedDetails']['scriptName']).strip())
for item in files_description)
# Add useful information to our files_description OrderedDict
for file_name in file_names:
repeats_cnt = 0
file_name_repeats = (
item
for item
in files_description
if file_name == format_filename(trlng_dash(files_description[item]['encodedDetails']['scriptName']).strip())
)
for file_uuid in file_name_repeats:
files_description[file_uuid]['normalizedName'] = file_name
files_description[file_uuid]['stemSuffix'] = '' if repeats_cnt == 0 else f'({repeats_cnt:0>2})'
repeats_cnt += 1
# Now we iterate on non-empty worksheets only.
for item in files_description:
json_file = json_dir/f"{files_description[item]['name']}.json"
with open(json_file, 'r', encoding='latin_1') as f:
json_dat = json.load(f)
body = json_dat['wsContents']['body']
body_bin = body.encode('latin_1')
body_txt = zlib.decompress(body_bin).decode('utf8')
sql_file = sql_dir/f"{files_description[item]['normalizedName']}{files_description[item]['stemSuffix']}.sql"
with open(sql_file, 'w') as sql_f:
sql_f.write(body_txt)
creation_stamp = files_description[item]['created']/1000
os.utime(sql_file, (creation_stamp,creation_stamp))
print('Done!')
As mentioned at Is there any option in snowflake to save or load worksheets? (and in Snowflake's own documentation), in the Classic UI, the worksheets are saved at the user stage under #~/worksheet_data/.
You can download it with a get command like:
get #~/worksheet_data/<name> file:///<your local location>; (though you might need quoting if running from Windows).
The problem is that I do not know how to access it programmatically. The downloaded files look like JSON but it is not valid JSON. The main key is "wsContents" and contains most of the worksheet information. Its value includes two subkeys, "encoding" and "body".
The "encoding" key denotes that gzip is being used. The "body" key seems to be the actual worksheet data which looks a lot like a straight binary representation of the compressed text data. As such, any JSON reader will choke on it.
If it is anything like that, I do not currently know how to access it programmatically using Python.
I do see that a JSON like format exists, BSON, that is bundled into PyMongo. Trying to use this on these files fails. I even tried bson.is_valid and it returns False so I am assuming that it means that these files in Snowflake are not actually BSON.
Edited to add: Again, BSON is a dead end.
Examining the "body" value as just binary data, the first two bytes of sample files do seem to correspond to default zlib compression (0x789c). However, attempting to run straight zlib.decompress on the slice created from that first byte to the last corresponding to the first & last characters of the "body" value results in the error:
Error - 3 while decompressing data: invalid code lengths set
This makes me think that the bytes there, as is, are at least partly garbage and still need some processing before they can be decompressed.
One clue that I failed to mention earlier is that the metadata file (called "metadata" and which serves as an inventory of the remaining files at the #~/worksheet_data/ location) declares that the files use the punycode encoding. However, I have not known how to use that information. The data in these files doesn't particularly look like what I feel punycode should look like nor does it particularly make sense to me that you would use punycode on binary data that is not meant to ever be used to directly generate text such as zlib compressed data.
I am trying to write a GUI that will display the name of the sketch it was generated from using a simple text() command. However, I am running into trouble getting any of the general JS solutions to work for me. Many solutions I have found use the filename reserved word but that does not seem to be reserved in Processing 3.5.4. I have also tried parsing the strings using a similar method to what can be found here. I am very new to processing and this is only my 2nd attempt at using Processing.
Any advice would be greatly appreciated
You can get the path (as a string) to the sketch with sketchPath().
From there you could either parse the string (pull off everything after the last slash) to get the sketch name, or you can use sketchFile() to get a reference to the file itself and get the name from there:
String path = sketchPath();
File file = sketchFile(path);
String sketchName = file.getName();
println(sketchName);
You could combine this all into one line like so:
String sketchName = sketchFile(sketchPath()).getName();
Got quite a head-scratcher....
I'm using the VBScript function REPLACE to replace spaces in a decrypted field from a MSSQL DB with "/".
But the REPLACE function isn't "seeing" the spaces.
For example, if I run any one of the following, where the decrypted value of the field "ITF_U_ClientName_Denc" is "Johnny Carson":
REPLACE(ITF_U_Ledger.Fields("ITF_U_ClientName_Denc")," ","/")
REPLACE(ITF_U_Ledger.Fields("ITF_U_ClientName_Denc")," ","/")
REPLACE(ITF_U_Ledger.Fields("ITF_U_ClientName_Denc"),"Chr(160)","/")
REPLACE(CSTR(ITF_U_Ledger.Fields("ITF_U_ClientName_Denc"))," ","/")
REPLACE(ITF_U_Ledger.Fields("ITF_U_ClientName_Denc")," ","/",1,-1,1)
REPLACE(ITF_U_Ledger.Fields("ITF_U_ClientName_Denc")," ","/",1,-1,0)
The returned value is "Johnny Carson" (space not replaced with /)
The issue seems to be exclusively with spaces, because when I run this:
REPLACE(ITF_U_Ledger.Fields("ITF_U_ClientName_Denc"),"a","/")
I get "Johnny C/rson".
Also, the issue seems to be exclusively with spaces in the decrypted value, because when I run this:
REPLACE("Johnny Carson"," ","/")
Of course, the returned value is "Johnny/Carson".
I have checked what is being written to the source of the page and it is simply "Johnny Carson" with no encoding or special characters.
I have also tried the SPLIT function to see if it would "see" the space, but it doesn't.
Finally, thanks to a helpful comment, I tried VBS REGEX searching for \s.
Set regExp = New RegExp
regExp.IgnoreCase = True
regExp.Global = True
regExp.Pattern = "\s" 'Add here every character you don't consider as special character
strProcessed = regExp.Replace(ITF_U_Ledger.Fields("ITF_U_ClientName_Denc"), "?")
Unfortunately, strProcessed retruns "Johnny Carson" (ie. spaces not detected/removed).
If I replace regExp.Pattern = "a", strProcessed returns "Johnny C?rson".
Many thanks for your help!!
As we found, the right character code is 160, and that did the trick:
replace(..., ChrW(160), "...")
This seems to be data specific and, additionally, as an alternative you can try to get same encoding of the source script (i.e. save with Save As with Encoding), or convert received database value into a different target encoding.
I need to do the following:
Read a .csv file into a variable. Csv file is having one single row with a string like (110,111,112,113,114)
Using this String variable, split the content on the basis of a comma",".
What I have done:
I have added a Thread Group
2a. Added a user defined variable 'Config Element'.
2b. Added a variable named 'issueIds' having value ${__FileToString(D:\TestCasesId.csv,,issueIds)}
3a. Now I added a JSR223 Sampler with the following code:
String lineItems1 = ${issueIds};
log.info(lineItems1);
3b. Executing this give the following error:
Response code:500
Response message:javax.script.ScriptException: In file: inline evaluation of: ``String lineItems1 = 114660,114661,114662,114663; log.info(lineItems1); ;'' Encountered "114661" at line 1, column 28.
in inline evaluation of: ``String lineItems1 = 114660,114661,114662,114663; log.info(lineItems1); ;'' at line number 1
4a. Added a BeanShell Sampler with the following script:
String lineItems2 = ${issueIds};
String[] lineItems2Arr = lineItems2.split(",");
log.info(lineItems2);
log.info(lineItems2Arr[0]);
4b. Executing this give the following error:
Response code:500
Response message:org.apache.jorphan.util.JMeterException: Error invoking bsh method: eval In file: inline evaluation of: ``String lineItems2 = 114660,114661,114662,114663; String[] lineItems2Arr = lineIt . . . '' Encountered "114661" at line 1, column 28.
What am i doing wrong?
You are doing 2 things wrong:
Inlining JMeter Functions or Variables into scripting elements is not recommended, you should be using vars shorthand to JMeterVariables class instance instead like:
String lineItems1 = vars.get("issueIds");
Since JMeter 3.1 it's recommended to use JSR223 Test Elements and Groovy language for scripting therefore consider choosing groovy from the language drop-down
Groovy has much better performance comparing to Beanshell, it supports all modern Java SDK features and provides some syntax sugar on top of it, check out Apache Groovy - Why and How You Should Use It article for more details.
In case amount of comma separated fields is the same for all used csv files, you can consider using 'CSV Data Set Config' instead of manual splitting. In that case you will have a separate variable for each column in the csv, e.g.
id1,id2,id3,id4,id5
110,111,112,113,114
When I try to upload a file with apostrophe, I get the error:
Internal Server Error
The server encountered an internal error or misconfiguration and was unable to complete your request.
if the file name is test's.pdf, I get the error. But if I change the name to test.pdf, there is no error.
Does anyone know why?
Thanks
I had a similar situation where I was dynamically creating filenames for pages that created excel files from query results. The approach I took was to create a function that replaced all the bad characters with something. Here is part of that function.
<cfargument name="replacementString" required="no" default=" ">
<cfscript>
var inValidFileNameCharacters = "[/\\*'?[\]:><""|]";
return reReplace (arguments.fileNameIn, inValidFileNameCharacters, arguments.replacementString, "all");
</cfscript>
You might want to consider an opposite approach. Instead of declaring invalid characters and replacing them, declare valid ones and replace anything that is not in the list of valid characters.
I suggest making this a function that's available on all appropriate pages. How you do that depends on your situation.
My guess is that the apostrophe is one of those multi-character apostrophes that Microsoft Word often uses. A character like that may not be a valid character for your OS file system.
You may want to re-code the system to use a temporary file on upload and then rename it to a valid file name after the upload is successful.
Here's some basic trouble shooting info.
Wrap your code in a try/catch block and dump the full error to the page output. Examples of using try/catch/dump below. The examples below force an error by dividing by zero.
For tag based cfml:
<cftry>
<cfset offendingCode = 1 / 0>
<cfcatch type="any">
<cfdump var="#cfcatch#" label="cfcatch">
</cfcatch>
</cftry>
For cfscript cfml:
<cfscript>
try {
offendingCode = 1 / 0;
} catch (any e) {
writeDump(var=e, label="Exception");
}
</cfscript>