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  • Is it possible to use Sphinx search with dynamic conditions?

    - by Fedyashev Nikita
    In my web app I need to perform 3 types of searching on items table with the following conditions: items.is_public = 1 (use title field for indexing) - a lot of results can be retrieved(cardinality is much higher than in other cases) items.category_id = {X} (use title + private_notes fields for indexing) - usually less than 100 results items.user_id = {X} (use title + private_notes fields for indexing) - usually less than 100 results I can't find a way to make Sphinx work in all these cases, but it works well in 1st case. Should I use Sphinx just for the 1st case and use plain old "slow" FULLTEXT searching in MySQL(at least because of lower cardinality in 2-3 cases)? Or is it just me and Sphinx can do pretty much everything?

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  • Sphinx Mysql Tutorial Help

    - by Frederico
    I have just implemented the Sphinx Storage Engine, and created my first Sphinx table, I'm trying to convert from using my Fulltext MyISAM table, so I figured I would just dump all the data into a sphinx table.. obviously I was wrong. Are there any great tutorials that really take you through transforming a fulltext search on MySQL to a sphinx table? Thanks in advance.

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  • How to become a solid python web developer [closed]

    - by Estarius
    Possible Duplicate: How do I learn Python from zero to web development? I have started Python recently with the goal to become a solid developer to make a web application eventually. However, as time goes by I am wondering if I am being optimal about how I will achieve my goal. I would compare it to a game for example, to be better you must spend time playing and trying new things... However, if you just log in and sit in the lobby chatting you are most likely not progressing. So far, this is my plan (feel free to comment or judge it): Review basic programmation concepts Start coding slowly in Python Once comfortable in Python, learn about web development in Python Learn about those things we heard about: SQLAlchemy, MVC, TDD, Git, Agile (Group project) To achieve these things, I started the Learn python the hard way exercises, which I am doing at the rate of 5 per days. I also started to read Think Python at the same time and planning to move on with Dive into python. As far as my research goes, these documentations along with Python documentation is usually what is the most recommended to learn Python. I consider this to get my point 1 and 2 done. While learning Python is really great, my goal remains to do quality web development. I know there are books about Django etc. however I would like to become comfortable with any Python web development. This means without Framework and with Framework... Any framework, then be able to choose the one which best fits our needs. For this I would like to know if some people have suggestions. Should I just get a book on Django and it should apply to everything ? What would be the best method to go from Python to Web Python and not end up creating crappy code which would turn into nightmares for other programmers ? Then finally, those "things we hear about". While I understand what they all do basically, I am fairly sure that like everything, there are good and wrong ways of making use of them. Should I go through at least a whole book on each before starting to use them or keep it at their respective online documentation ? Are there some kind of documentation which links their use to Python ? Also, from looking at Django and Pyramid they seems to use something else than MVC, while the Django model looks similar, the Pyramid one seems to cut a whole part of it... Is learning MVC still worth it ? Sorry for the wall of text, Thanks in advance !

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  • Why do people hesitate using Python 3?

    - by Ham
    Python 3 has been released in December 2008. A lot of time has passed since then but still today many developers hesitate using Python 3. Even popular frameworks like Django are not compatible with Python 3 yet but still rely on Python 2. Sure, Python 3 has some incompatibilities to Python 2 and some people need to rely on backwards-compatibility. But hasn't Python 3 been around long enough now for most projects to switch or start with Python 3? Having two competiting versions has so many drawbacks; two branches need to be maintained, confusion for learners and so on, so why is there such a big hesitation throughout the Python community in switching to Python 3?

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  • django error ,about django-sphinx

    - by zjm1126
    from django.db import models from djangosphinx.models import SphinxSearch class MyModel(models.Model): search = SphinxSearch() # optional: defaults to db_table # If your index name does not match MyModel._meta.db_table # Note: You can only generate automatic configurations from the ./manage.py script # if your index name matches. search = SphinxSearch('index_name') # Or maybe we want to be more.. specific searchdelta = SphinxSearch( index='index_name delta_name', weights={ 'name': 100, 'description': 10, 'tags': 80, }, mode='SPH_MATCH_ALL', rankmode='SPH_RANK_NONE', ) queryset = MyModel.search.query('query') results1 = queryset.order_by('@weight', '@id', 'my_attribute') results2 = queryset.filter(my_attribute=5) results3 = queryset.filter(my_other_attribute=[5, 3,4]) results4 = queryset.exclude(my_attribute=5)[0:10] results5 = queryset.count() # as of 2.0 you can now access an attribute to get the weight and similar arguments for result in results1: print result, result._sphinx # you can also access a similar set of meta data on the queryset itself (once it's been sliced or executed in any way) print results1._sphinx and Traceback (most recent call last): File "D:\zjm_code\sphinx_test\models.py", line 1, in <module> from django.db import models File "D:\Python25\Lib\site-packages\django\db\__init__.py", line 10, in <module> if not settings.DATABASE_ENGINE: File "D:\Python25\Lib\site-packages\django\utils\functional.py", line 269, in __getattr__ self._setup() File "D:\Python25\Lib\site-packages\django\conf\__init__.py", line 38, in _setup raise ImportError("Settings cannot be imported, because environment variable %s is undefined." % ENVIRONMENT_VARIABLE) ImportError: Settings cannot be imported, because environment variable DJANGO_SETTINGS_MODULE is undefined.

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  • How do I include the capistrano thinking sphinx tasks when using the gem

    - by Sam Saffron
    Im using the gem for thinking sphinx: sudo gem install freelancing-god-thinking-sphinx \ --source http://gems.github.com So: require 'vendor/plugins/thinking-sphinx/recipes/thinking_sphinx' Which is prescribed on the website does not work. How do I include the capistrano thinking sphinx tasks in my deploy.rb file when using the gem? EDIT Adding: require 'thinking_sphinx/deploy/capistrano' gives me: /usr/lib/ruby/gems/1.8/gems/freelancing-god-thinking-sphinx-1.1.12/lib/thinking_sphinx/deploy/capistrano.rb:1: undefined method `namespace' for main:Object (NoMethodError) from /usr/local/lib/site_ruby/1.8/rubygems/custom_require.rb:36:in `gem_original_require' from /usr/local/lib/site_ruby/1.8/rubygems/custom_require.rb:36:in `require' from /usr/lib/ruby/gems/1.8/gems/capistrano-2.5.8/lib/capistrano/configuration/loading.rb:152:in `require'

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  • Cannot compile GDB7.8 with Python support

    - by j0h
    I am trying to install GDB7.8 with Python support. From the source folder, I am running ./configure --with-python When I did tab-complete from --with- I did not see Python in the list. But when I ran configure with that flag, it did not baulk. When I run make, it complains that Python is not found. checking for python2.7... no but Python is installed: $ which python python python2.7 python2.7-dbg-config python2 python2.7-dbg $ which python2.7 /usr/bin/python2.7 I compiled GDB without --with-python and things installed without error. I was under the impression that GDB7.8 had Python support without the need for special flags. But when I run: $gdb python (gdb) run test.py I get some sort of cannot import gdb Import error So then I tried calling "pi": (gdb) pi printf.py Python scripting is not supported in this copy of GDB. So... how do I get Python support in GDB7.8? is it actually not supported? Or should I not call "pi"?

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  • Fastest image iteration in Python

    - by Greg
    I am creating a simple green screen app with Python 2.7.4 but am getting quite slow results. I am currently using PIL 1.1.7 to load and iterate the images and saw huge speed-ups changing from the old getpixel() to the newer load() and pixel access object indexing. However the following loop still takes around 2.5 seconds to run for an image of around 720p resolution: def colorclose(Cb_p, Cr_p, Cb_key, Cr_key, tola, tolb): temp = math.sqrt((Cb_key-Cb_p)**2+(Cr_key-Cr_p)**2) if temp < tola: return 0.0 else: if temp < tolb: return (temp-tola)/(tolb-tola) else: return 1.0 .... for x in range(width): for y in range(height): Y, cb, cr = fg_cbcr_list[x, y] mask = colorclose(cb, cr, cb_key, cr_key, tola, tolb) mask = 1 - mask bgr, bgg, bgb = bg_list[x,y] fgr, fgg, fgb = fg_list[x,y] pixels[x,y] = ( (int)(fgr - mask*key_color[0] + mask*bgr), (int)(fgg - mask*key_color[1] + mask*bgg), (int)(fgb - mask*key_color[2] + mask*bgb)) Am I doing anything hugely inefficient here which makes it run so slow? I have seen similar, simpler examples where the loop is replaced by a boolean matrix for instance, but for this case I can't see a way to replace the loop. The pixels[x,y] assignment seems to take the most amount of time but not knowing Python very well I am unsure of a more efficient way to do this. Any help would be appreciated.

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  • Python requests - saving cookie for later url usage

    - by PythonRocks
    I been trying to get a cookie and post it to a url in later use in the program, but I cant seem to get the cookie parameters to work. Right now I have response = requests.get("url") But how exactly do I retrive cookies from this url and post them to a new url (the same cookies). The tutorial in requests is somewhat vague on the topic and gives examples I cannot test. Hope someone can help with further examples. This is python 2.7 btw.

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  • Python Parse regex

    - by Nemo
    Let's say I have string in the form given below: myString={"name", "age", "address", "contacts", "Email"} I need to get all the items of myString into a List using python. Here's what I did r= re.search("myString=\{\"(.+)\", $\}", line) if r: items.append(r.group(1)) print(items) Here line is the variable that holds the content of my text file. What change do I have to make to my regex to get all the items in myString? Please kindly help me out. Thanks.

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  • Python Newbie: Sphinx on App Engine - too much at a time?

    - by Pekka
    Following up on my last year's question on documentation, I now want to get started and try out Python-based Sphinx for putting together the developer documentation for a PHP CMS I've been working on. Instead of setting up Python locally on my workstation, I would like to run it on a publicly accessible web server from the start. All the web hosting packages I have access to run on the LAMP stack, and I'm reluctant to buy Python-based hosting. I am very interested in the Google App Engine, the free quotas they provide will do for me a hundred times over, and even if not, their pricing looks very reasonable. Now I have zero knowledge of Python - getting Sphinx to work would be my first contact with it - and very little time. As far as I understand, the platform and python libraries the App Engine provides are very compatible to a standard Python library but not identical. So my question is: Can Sphinx run on App Engine at all? Is installing Sphinx on the App Engine as straightforward as if I would install it on top of a normal Python installation? Or will the App Engine's environment require tweaking of the source code that I can't perform in reasonable time with my current level of Python? Should I be installing Sphinx on a local server and a "normal" Python stack instead first? Does anybody know any helpful How-to's, tutorials or other resources for this?

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  • In Sphinx, can I register a bunch of keywords that should always be translated into links?

    - by Ross Rogers
    My doc strings have references to other python classes that I've defined. Every time Sphinx encounters one of these classes, I want it to insert a link to the documentation for that other class. Is this possible in Sphinx? Specifically, I have a doc string like: '''This class contains a bunch of Foo objects''' I could write: '''This class contains a bunch of :class:`~foo.Foo` objects''' but I would prefer that Sphinx finds all text matching Foo and makes it seem as though I had typed :class:~foo.Foo

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  • Trouble with Debian Lenny and Sphinx

    - by Ando
    I've very basic understanding of linux systems, but I've a server which was setup a while ago to host some web apps. Recently I decided to test out and implement Sphinx but unfortunately I cant get the install to work. I'm running a Debian Lenny distro and when I try to install sphinx it says - checking MySQL include files... configure: error: missing include files. ****************************************************************************** ERROR: cannot find MySQL include files. Check that you do have MySQL include files installed. The package name is typically 'mysql-devel'. If include files are installed on your system, but you are still getting this message, you should do one of the following: 1) either specify includes location explicitly, using --with-mysql-includes; 2) or specify MySQL installation root location explicitly, using --with-mysql; 3) or make sure that the path to 'mysql_config' program is listed in your PATH environment variable. To disable MySQL support, use --without-mysql option. ****************************************************************************** I do have mysql 5.1 installed but I can't find the include files, AND one more thing.. I read around the net that I probably need libmysqlclient15-dev but when I try to install that using apt-get i receive the following error. The following packages were automatically installed and are no longer required: libxcb-aux0 libts-0.0-0 libxcb-atom1 ttf-dejavu-extra hunspell-en-us g++-4.3 libmysql++3 libnspr4-0d libdirectfb-1.0-0 libxcb-event1 libasound2 libstdc++6-4.3-dev libhunspell-1.2-0 ttf-dejavu libmozjs2d conkeror-spawn-process-helper libnss3-1d Use 'apt-get autoremove' to remove them. The following NEW packages will be installed: libmysqlclient15-dev 0 upgraded, 1 newly installed, 0 to remove and 276 not upgraded. Need to get 7590 kB of archives. After this operation, 26.3 MB of additional disk space will be used. WARNING: The following packages cannot be authenticated! libmysqlclient15-dev Install these packages without verification [y/N]? Y Err http://ftp.us.debian.org/debian/ lenny/main libmysqlclient15-dev amd64 5.0.51a-24+lenny5 404 Not Found [IP: 35.9.37.225 80] Err http://security.debian.org/ lenny/updates/main libmysqlclient15-dev amd64 5.0.51a-24+lenny5 404 Not Found [IP: 149.20.20.6 80] Failed to fetch http://security.debian.org/pool/updates/main/m/mysql-dfsg-5.0/libmysqlclient15-dev_5.0.51a-24+lenny5_amd64.deb 404 Not Found [IP: 149.20.20.6 80] E: Unable to fetch some archives, maybe run apt-get update or try with --fix-missing? Can you help me out by suggesting how to install the required packages and run the Sphinx.

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  • Sphinx 2.0.8 with Postgresql 9.2.4

    - by Calvin
    I want to install Sphinx 2.0.8 from source on CentOS 5.6 with PostgreSQL 9.2.4 my server type : Linux localhost.localdomain 2.6.18-348.6.1.el5 #1 SMP Tue May 21 15:29:55 EDT 2013 x86_64 x86_64 x86_64 GNU/Linux. First, i compile with : ./configure --prefix=/usr/local/sphinx --with-pgsql --without-mysql --with-pgsql-libs=/var/lib/pgsql/9.2/data/ --with-pgsql-includes=/usr/pgsql-9.2/include/ then it seems work, but after i run make errors appeared /usr/bin/ld: cannot find -lpq I have installed postgresql92-devel and libs also libpqxxx and worked with that error all day long but i am not solve that yet. Thanks for helping me.

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  • mySQL sphinx Index location on Ubuntu

    - by Marcus Morris
    I am trying to test out a Sphinx cookbook, but I need a database to do so. I have created the database locally, but I need to know where the default path is for the index of the table I created. This is the error I am currently getting when trying to run sphinx because the path to the index is wrong: WARNING: index 'phoneindex': preload: failed to open /var/lib/mysql/mysql.sph: No such file or directory; NOT SERVING FATAL: no valid indexes to serve Where can I find mysql.sph? Or how/when is that file created? Thanks!

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  • python metaprogramming

    - by valya
    I'm trying to archive a task which turns out to be a bit complicated since I'm not very good at Python metaprogramming. I want to have a module locations with function get_location(name), which returns a class defined in a folder locations/ in the file with the name passed to function. Name of a class is something like NameLocation. So, my folder structure: program.py locations/ __init__.py first.py second.py program.py will be smth with with: from locations import get_location location = get_location('first') and the location is a class defined in first.py smth like this: from locations import Location # base class for all locations, defined in __init__ (?) class FirstLocation(Location): pass etc. Okay, I've tried a lot of import and getattribute statements but now I'm bored and surrender. How to archive such behaviour?

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  • bad request error 400 while using python requests.post function

    - by Toussah
    I'm trying to make a simple post request via the requests library of Python and I get a bad request error (400) while my url is supposedly correct since I can use it to perform a get. I'm very new in REST requests, I read many tutorials and documentation but I guess there are still things I don't get so my error could be basic. Maybe a lack of understanding on the type of url I'm supposed to send via POST. Here my code : import requests v_username = "username" v_password = "password" v_headers = {'content-type':'application/rdf+xml'} url = 'https://my.url' params = {'param': 'val_param'} payload = {'data': 'my_data'} r = requests.post(url, params = params, auth=(v_username, v_password), data=payload, headers=v_headers, verify=False) print r I used the example of the requests documentation.

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  • Bit by bit comparison of using Java or Python for unit testing frameworks and Selenium

    - by Anirudh
    Currently we are in the process of finalizing which language out of Java, Python should be used for Automation using selenium webdriver and a suitable unit testing frameworks. I have made use of Junit, TestNG and webdriver while using with Java and have designed frameworks without much fuss before. I am new to python though I came across pyhton's unit testing frameworks like unittest, pyunit, nose e.t.c but I have doubts if they would be as successful as testNG or Java. I would like to analyze point by point when used with selenium webdriver as below: 1)I have read that as Python is an interpreted language hence it's execution is slower, so say if I have to run 1000 test cases which take about 6 hours to run in Java, would python take considerably longer time for the same test cases like 8 hours? 2)Can the Python unit testing framework be as flexible as a Java unit testing framework like testNG in terms or Grouping the tests, parallel execution, skipping test. e.t.c 3)Also one point that I think of is that Python with selenium webdriver doeasn't have as big or learned community as we have for Java with webdriver, say if I run into trouble with something I am more likely to find an answer for Java as compared to python? 4)Somewhat related to point 3, is it safe to rely on tools, plugins or even webderiver's python's binding as a continuously well maintained? 5)One major drawback as I see while using python's unit testing framework is lack of boilerplate code or libraries for nicely illustrative HTML reports preferably historical reports with Pie charts, bar graphs and timelines as we have in case of Java like Allure, TestNG's default reports, reportNG or Junit reports with the help of ANT as shown below Allure Reports Junit Historical reports Also I would like to emphasize on the fact if there is a way for one to write the framework in java and make libraries or utilities according to out application in webdriver which can easily be called or integrated in with python code or modules? That would actually solve the problem for us as the client would be able to use the code we write in Java and make use of the same or call it from their python modules?

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  • Python - Calling a non python program from python?

    - by Seafoid
    Hi, I am currently struggling to call a non python program from a python script. I have a ~1000 files that when passed through this C++ program will generate ~1000 outputs. Each output file must have a distinct name. The command I wish to run is of the form: program_name -input -output -o1 -o2 -o3 To date I have tried: import os cwd = os.getcwd() files = os.listdir(cwd) required_files = [] for i in file: if i.endswith('.ttp'): required_files.append(i) So, I have an array of the neccesary files. My problem - how do I iterate over the array and for each entry, pass it to the above command (program_name) as an argument and specify a unique output id for each file? Much appreciated, S :-)

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  • Python regex to parse text file, get the items in list and count the list

    - by Nemo
    I have a text file which contains some data. I m particularly interested in finding the count of the number of items in v_dims v_dims pattern in my text file looks like this : v_dims={ "Sales", "Product Family", "Sales Organization", "Region", "Sales Area", "Sales office", "Sales Division", "Sales Person", "Sales Channel", "Sales Order Type", "Sales Number", "Sales Person", "Sales Quantity", "Sales Amount" } So I m thinking of getting all the elements in v_dims and dumping them out in a Python list. Then compute the len(mylist) to get the count of the items. The challenge is in getting all the elements of v_dims from my text file and putting them in an empty list. I m particularly interested in items in v_dims in my text file. The text file has data in the form of v_dims pattern i showed in my original post. Some data has nested patterns of v_dims. Thanks. Here's what I have tried and failed. Any help is appreciated. TIA. import re fname = "C:\Users\XXXX\Test.mrk" with open(fname, "r") as fo: content_as_string = fo.read() match = re.findall(r'v_dims={\"(.+?)\"}',content_as_string) Though I have a big text file, Here's a snippet of what's the structure of my text file version "1"; // Computer generated object language file object 'MRKR' "Main" { Data_Type=2, HeaderBlock={ Version_String="6.3 (25)" }, Printer_Info={ Orientation=0, Page_Width=8.50000000, Page_Height=11.00000000, Page_Header="", Page_Footer="", Margin_type=0, Top_Margin=0.50000000, Left_Margin=0.50000000, Bottom_Margin=0.50000000, Right_Margin=0.50000000 }, Marker_Options={ Close_All="TRUE", Hide_Console="FALSE", Console_Left="FALSE", Console_Width=217, Main_Style="Maximized", MDI_Rect={ 0, 0, 892, 1063 } }, Dives={ { Dive="A", Windows={ { View_Index=0, Window_Info={ Window_Rect={ 0, -288, 400, 1008 }, Window_Style="Maximized Front", Window_Name="Theater [Previous Qtr Diveplan-Dive A]" }, Dependent_bool="FALSE", Colset={ Dive_Type="Normal", Dimension_Name="Theater", Action_List={ Actions={ { Action_Type="Select", select_type=5 }, { Action_Type="Select", select_type=0, Key_Names={ "Theater" }, Key_Indexes={ { "AMERICAS" } } }, { Action_Type="Focus", Focus_Rows="True" }, { Action_Type="Dimensions", v_dims={ "Theater", "Product Family", "Division", "Region", "Install at Country Name", "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "PS Flag", "Avalanche Flag", "Product Item Family" }, Xtab_Bool="False", Xtab_Flip="False" }, { Action_Type="Select", select_type=5 }, { Action_Type="Select", select_type=0, Key_Names={ "Theater", "Product Family", "Division", "Region", "Install at Country Name", "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "PS Flag", "Avalanche Flag" }, Key_Indexes={ { "AMERICAS", "ATMOS", "Latin America CS Division", "37000 CS Region", "Mexico", "", "", "", "", "DIRECT", "EMC", "N", "0" } } } } }, Num_Palette_cols=0, Num_Palette_rows=0 }, Format={ Window_Type="Tabular", Tabular={ Num_row_labels=8 } } } } } }, Widget_Set={ Widget_Layout="Vertical", Go_Button=1, Picklist_Width=0, Sort_Subset_Dimensions="TRUE", Order={ } }, Views={ { Data_Type=1, dbname="Previous Qtr Diveplan", diveline_dbname="Current Qtr Diveplan", logical_name="Current Qtr Diveplan", cols={ { name="Total TSS installs", column_type="Calc[Total TSS installs]", output_type="Number", format_string="." }, { name="TSS Valid Connectivity Records", column_type="Calc[TSS Valid Connectivity Records]", output_type="Number", format_string="." }, { name="% TSS Connectivity Record", column_type="Calc[% TSS Connectivity Record]", output_type="Number" }, { name="TSS Not Applicable", column_type="Calc[TSS Not Applicable]", output_type="Number", format_string="." }, { name="TSS Customer Refusals", column_type="Calc[TSS Customer Refusals]", output_type="Number", format_string="." }, { name="% TSS Refusals", column_type="Calc[% TSS Refusals]", output_type="Number" }, { name="TSS Eligible for Physical Connectivity", column_type="Calc[TSS Eligible for Physical Connectivity]", output_type="Number", format_string="." }, { name="TSS Boxes with Physical Connectivty", column_type="Calc[TSS Boxes with Physical Connectivty]", output_type="Number", format_string="." }, { name="% TSS Physical Connectivity", column_type="Calc[% TSS Physical Connectivity]", output_type="Number" } }, dim_cols={ { name="Model", column_type="Dimension[Model]", output_type="None" }, { name="Model", column_type="Dimension[Model]", output_type="None" }, { name="Connect In Type", column_type="Dimension[Connect In Type]", output_type="None" }, { name="Connect Home Type", column_type="Dimension[Connect Home Type]", output_type="None" }, { name="SymmConnect Enabled", column_type="Dimension[SymmConnect Enabled]", output_type="None" }, { name="Theater", column_type="Dimension[Theater]", output_type="None" }, { name="Division", column_type="Dimension[Division]", output_type="None" }, { name="Region", column_type="Dimension[Region]", output_type="None" }, { name="Sales Order Number", column_type="Dimension[Sales Order Number]", output_type="None" }, { name="Product Item Family", column_type="Dimension[Product Item Family]", output_type="None" }, { name="Item Serial Number", column_type="Dimension[Item Serial Number]", output_type="None" }, { name="Sales Order Deal Number", column_type="Dimension[Sales Order Deal Number]", output_type="None" }, { name="Item Install Date", column_type="Dimension[Item Install Date]", output_type="None" }, { name="SYR Last Dial Home Date", column_type="Dimension[SYR Last Dial Home Date]", output_type="None" }, { name="Maintained By Group", column_type="Dimension[Maintained By Group]", output_type="None" }, { name="PS Flag", column_type="Dimension[PS Flag]", output_type="None" }, { name="Connect Home Refusal Reason", column_type="Dimension[Connect Home Refusal Reason]", output_type="None", col_width=177 }, { name="Cust Name", column_type="Dimension[Cust Name]", output_type="None" }, { name="Sales Order Channel Type", column_type="Dimension[Sales Order Channel Type]", output_type="None" }, { name="Sales Order Type", column_type="Dimension[Sales Order Type]", output_type="None" }, { name="Part Model Key", column_type="Dimension[Part Model Key]", output_type="None" }, { name="Ship Date", column_type="Dimension[Ship Date]", output_type="None" }, { name="Model Number", column_type="Dimension[Model Number]", output_type="None" }, { name="Item Description", column_type="Dimension[Item Description]", output_type="None" }, { name="Customer Classification", column_type="Dimension[Customer Classification]", output_type="None" }, { name="CS Customer Name", column_type="Dimension[CS Customer Name]", output_type="None" }, { name="Install At Customer Number", column_type="Dimension[Install At Customer Number]", output_type="None" }, { name="Install at Country Name", column_type="Dimension[Install at Country Name]", output_type="None" }, { name="TLA Serial Number", column_type="Dimension[TLA Serial Number]", output_type="None" }, { name="Product Version", column_type="Dimension[Product Version]", output_type="None" }, { name="Avalanche Flag", column_type="Dimension[Avalanche Flag]", output_type="None" }, { name="Product Family", column_type="Dimension[Product Family]", output_type="None" }, { name="Project Number", column_type="Dimension[Project Number]", output_type="None" }, { name="PROJECT_STATUS", column_type="Dimension[PROJECT_STATUS]", output_type="None" } }, Available_Columns={ "Total TSS installs", "TSS Valid Connectivity Records", "% TSS Connectivity Record", "TSS Not Applicable", "TSS Customer Refusals", "% TSS Refusals", "TSS Eligible for Physical Connectivity", "TSS Boxes with Physical Connectivty", "% TSS Physical Connectivity", "Total Installs", "All Boxes with Valid Connectivty Record", "% All Connectivity Record", "Overall Refusals", "Overall Refusals %", "All Eligible for Physical Connectivty", "Boxes with Physical Connectivity", "% All with Physical Conectivity" }, Remaining_columns={ { name="Total Installs", column_type="Calc[Total Installs]", output_type="Number", format_string="." }, { name="All Boxes with Valid Connectivty Record", column_type="Calc[All Boxes with Valid Connectivty Record]", output_type="Number", format_string="." }, { name="% All Connectivity Record", column_type="Calc[% All Connectivity Record]", output_type="Number" }, { name="Overall Refusals", column_type="Calc[Overall Refusals]", output_type="Number", format_string="." }, { name="Overall Refusals %", column_type="Calc[Overall Refusals %]", output_type="Number" }, { name="All Eligible for Physical Connectivty", column_type="Calc[All Eligible for Physical Connectivty]", output_type="Number" }, { name="Boxes with Physical Connectivity", column_type="Calc[Boxes with Physical Connectivity]", output_type="Number" }, { name="% All with Physical Conectivity", column_type="Calc[% All with Physical Conectivity]", output_type="Number" } }, calcs={ { name="Total TSS installs", definition="Total[Total TSS installs]", ts_flag="Not TS Calc" }, { name="TSS Valid Connectivity Records", definition="Total[PS Boxes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="% TSS Connectivity Record", definition="Total[PS Boxes w/ valid connectivity record (1=yes)] /Total[Total TSS installs]", ts_flag="Not TS Calc" }, { name="TSS Not Applicable", definition="Total[Bozes w/ valid connectivity record (1=yes)]-Total[Boxes Eligible (1=yes)]-Total[TSS Refusals]", ts_flag="Not TS Calc" }, { name="TSS Customer Refusals", definition="Total[TSS Refusals]", ts_flag="Not TS Calc" }, { name="% TSS Refusals", definition="Total[TSS Refusals]/Total[PS Boxes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="TSS Eligible for Physical Connectivity", definition="Total[TSS Eligible]-Total[Exception]", ts_flag="Not TS Calc" }, { name="TSS Boxes with Physical Connectivty", definition="Total[PS Physical Connectivity] - Total[PS Physical Connectivity, SymmConnect Enabled=\"Capable not enabled\"]", ts_flag="Not TS Calc" }, { name="% TSS Physical Connectivity", definition="Total[Boxes w/ phys conn]/Total[Boxes Eligible (1=yes)]", ts_flag="Not TS Calc" }, { name="Total Installs", definition="Total[Total Installs]", ts_flag="Not TS Calc" }, { name="All Boxes with Valid Connectivty Record", definition="Total[Bozes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="% All Connectivity Record", definition="Total[Bozes w/ valid connectivity record (1=yes)]/Total[Total Installs]", ts_flag="Not TS Calc" }, { name="Overall Refusals", definition="Total[Overall Refusals]", ts_flag="Not TS Calc" }, { name="Overall Refusals %", definition="Total[Overall Refusals]/Total[Bozes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="All Eligible for Physical Connectivty", definition="Total[Boxes Eligible (1=yes)]-Total[Exception]", ts_flag="Not TS Calc" }, { name="Boxes with Physical Connectivity", definition="Total[Boxes w/ phys conn]-Total[Boxes w/ phys conn,SymmConnect Enabled=\"Capable not enabled\"]", ts_flag="Not TS Calc" }, { name="% All with Physical Conectivity", definition="Total[Boxes w/ phys conn]/Total[Boxes Eligible (1=yes)]", ts_flag="Not TS Calc" } }, merge_type="consolidate", merge_dbs={ { dbname="connectivityallproducts.mdl", diveline_dbname="/DI_PSREPORTING/connectivityallproducts.mdl" } }, skip_constant_columns="FALSE", categories={ { name="Geography", dimensions={ "Theater", "Division", "Region", "Install at Country Name" } }, { name="Mappings and Flags", dimensions={ "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "Customer Installable", "PS Flag", "Top Level Flag", "Avalanche Flag" } }, { name="Product Information", dimensions={ "Product Family", "Product Item Family", "Product Version", "Item Description" } }, { name="Sales Order Info", dimensions={ "Sales Order Deal Number", "Sales Order Number", "Sales Order Type" } }, { name="Dates", dimensions={ "Item Install Date", "Ship Date", "SYR Last Dial Home Date" } }, { name="Details", dimensions={ "Item Serial Number", "TLA Serial Number", "Part Model Key", "Model Number" } }, { name="Customer Infor", dimensions={ "CS Customer Name", "Install At Customer Number", "Customer Classification", "Cust Name" } }, { name="Other Dimensions", dimensions={ "Model" } } }, Maintain_Category_Order="FALSE", popup_info="false" } } };

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  • MacPorts pHash not showing up in Python

    - by Nitzan Wilnai
    I am having a problem where python does not show pHash installed even though I installed it using macports. I made sure I am using the MacPorts version of Python by doing: sudo port select --set python python27 I then installed pHash by doing: sudo port install pHash. It installed without any errors. When I call help('modules'), I do not see pHash listed among the installed packages. Any ideas on why python is not seeing the pHash install by MacPorts? Calling port select --list python shows the following: Available versions for python: none python25-apple python26-apple python27 (active) python27-apple Printing out sys.path outputs the following: (reformatted to make it easier to read here) ['/Library/Python/2.7/site-packages/boto-2.9.9-py2.7.egg', '/Library/Python/2.7/site-packages/setuptools-0.9.8-py2.7.egg', '/Library/Python/2.7/site-packages/pip-1.4.1-py2.7.egg', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python27.zip', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-darwin', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac/lib-scriptpackages', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-old', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages', '/Library/Python/2.7/site-packages'] Can anyone help? Thanks.

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